REVIEW 3 minor 343 cited by
Quantum computing with Qiskit
T0 review · 0 major / 3 minor · reviewed 2026-05-10 · grok-4.3
Pith's one-line read Qiskit provides a layered architecture for representing, optimizing, and executing quantum circuits to solve condensed matter physics problems via hybrid computations.
desk verdict This is a documentation paper on the Qiskit platform with an illustrative workflow, not a research result. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The multi-abstraction circuit representation and optimization framework that incorporates dynamic circuits for hybrid quantum-classical steps.
What would settle it
Implement the condensed matter physics workflow in the software, run it on quantum hardware, and check whether circuit optimizations reduce gate counts as claimed and whether dynamic circuits execute hybrid steps correctly.
Extended reading notes
Core claim
The software architecture supports representation and optimization of quantum circuits at various abstraction levels, retargetability to new gates, and quantum-classical computations via dynamic circuits, which together enable an end-to-end workflow for solving a condensed matter physics problem on a quantum computer.
Load-bearing premise
The described architecture and workflow features match the actual implementation and behavior of the software without undisclosed version-specific limits.
Editorial extensions
If this is right
- Circuit optimizations can be applied at both high-level and low-level representations to improve performance.
- The system can be retargeted to different quantum gate sets without major redesign.
- Dynamic circuits allow classical computations to influence quantum operations during execution.
- The architecture scales to handle problems drawn from condensed matter physics.
Reading between the lines
- This design may reduce the effort needed to adapt quantum algorithms across different hardware platforms.
- Support for hybrid steps suggests that quantum research will increasingly rely on tight integration with classical resources.
- Future work could extend the same optimization layers to larger systems that include error mitigation.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript describes Qiskit, an open-source software development kit for quantum information science. It outlines key design decisions, the overall software architecture and core components, then presents an end-to-end workflow that solves a condensed-matter physics problem on a quantum computer. The workflow is used to illustrate circuit representation and optimization across abstraction levels, scalability, retargetability to new gates, and quantum-classical hybrid computation via dynamic circuits. The paper closes with a discussion of the surrounding ecosystem of tools and plugins together with future directions.
Significance. If the narrative accurately reflects the APIs, code paths, and capabilities present at the time of writing, the paper supplies a useful reference document for the quantum-computing community. It documents how a production-grade SDK can be used to move from high-level circuit construction through optimization and execution on hardware, with explicit attention to dynamic circuits and retargetability. Such documentation is valuable for both new users and developers who wish to extend or interface with Qiskit.
minor comments (3)
- The abstract and introduction would benefit from naming the specific condensed-matter model (e.g., Heisenberg chain, Hubbard model) and the observable being computed, so that readers can immediately judge the scope of the demonstration.
- Section describing the workflow should include explicit version numbers or commit hashes of the Qiskit packages used, together with a pointer to a public repository containing the exact scripts, to allow reproducibility of the illustrated circuit transformations.
- Figure captions for the circuit diagrams at different abstraction levels should state the gate set and optimization pass sequence applied in each panel, rather than leaving these details only in the main text.
Simulated Author's Rebuttal
We thank the referee for their positive assessment of the manuscript and for recommending acceptance. We appreciate the recognition that the paper provides a useful reference for the quantum-computing community by documenting Qiskit's architecture, workflows, and capabilities.
Circularity Check
No significant circularity
full rationale
The paper is a purely descriptive software architecture and demonstration article. Its central claim is the existence of an end-to-end workflow exercising circuit abstraction, optimization, retargetability, scalability, and dynamic-circuit features inside Qiskit. No equations, first-principles derivations, quantitative predictions, or fitted parameters are offered whose validity could reduce to self-referential inputs or self-citations. The claim holds if the narrative accurately reflects the code and APIs at the time of writing; this is an external factual match rather than an internal derivation chain. No steps meet any of the enumerated circularity patterns.
Assumptions & free parameters
Cite this review
Pith. "Pith review of Quantum computing with Qiskit." pith.science (2026). https://pith.science/paper/YUARJKYZ
@misc{pith2026240508810,
author = {Pith},
title = {Pith review of: Quantum computing with Qiskit},
year = {2026},
howpublished = {\url{https://pith.science/paper/YUARJKYZ}},
note = {Machine review of arXiv:2405.08810}
}
read the original abstract
We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit's capabilities, for example the representation and optimization of circuits at various abstraction levels, its scalability and retargetability to new gates, and the use of quantum-classical computations via dynamic circuits. Lastly, we discuss some of the ecosystem of tools and plugins that extend Qiskit for various tasks, and the future ahead.
Forward citations
Showing 60 of 343 Pith papers that cite this
-
Quantum Computations on Fusion Blanket Molten Salts
First heterogeneous quantum-classical computation on FLiBe clusters for tritium binding using EWF partitioning and ext-SQD on IBM hardware matches FCI fragment energies within 0.3 kcal/mol MAD but shows 12-110 kcal/mo...
-
Separate and efficient characterization of state-preparation and measurement errors using single-qubit operations
A protocol for separate, efficient characterization of state-preparation and measurement errors via single-qubit operations with depth independent of system size.
-
Fast logical operations in quantum LDPC codes using simple resource states
A scheduler-code protocol jointly measures up to 20 commuting logical operators in quantum LDPC codes with ~1.7 cat states per operator, yielding up to 3x faster logical measurements and up to 74x faster Clifford circ...
-
SQGen: Structured Quantum Image Generation with Latent-Modulated Quantized Tensor Trains
SQGen maps a quantized tensor-train image model with latent-modulated re-uploading rotations onto a shallow native quantum circuit that generates images without a classical decoder.
-
Decision Kernels for Quantum Error Mitigation: Why Accuracy Gains Need Not Improve Downstream Decisions
Expectation-value accuracy is not decision-complete for shift-invariant QEM workflows; residual gap geometry (the decision kernel) governs argmin/ranking risk and can invert MSE rankings.
-
Auditing Empirical Comparisons in Quantum Software
CLAIMSTAB-QC audits 455 comparative claims from 119 quantum-software papers and identifies a materialization gap where only 8 claims provide enough matched evidence for direct auditing, yielding 2 sustained, 4 unresol...
-
BPBO: Blindness-Preserving Brickwork Optimization by Certified Region Resynthesis
BPBO performs certified local resynthesis on one- to three-wire regions of BFK09 brickwork to reduce pattern size while preserving UBQC blindness, demonstrated on Grover and Toffoli cases with reductions up to 3x725 to 3x98.
-
Quantum Fourier Generative Models Trainable at Large Scale
Quantum Fourier generative models are trained classically at over 1000-qubit scale using log-likelihood loss from Parseval's identity and deployed on superconducting hardware for fast sampling that preserves multi-mod...
-
Quantum Mutant Equivalence via Transpilation
TBE identifies 32.1% of 92,011 equivalent surviving quantum mutants (29,536) via OpenQASM comparison after transpilation, reporting 100% precision and 82% accuracy on 348,299 mutants.
-
Nonequilibrium steady states induced by stochastic mid-circuit measurements and resets on a quantum computer
Hardware demonstration of nonequilibrium steady states via stochastic mid-circuit measurements and resets on a superconducting quantum processor for the interacting Floquet transverse-field Ising model.
-
Efficient Quantum Circuit Construction of Controlled Time-Evolution for Arbitrary Pauli-Sum Hamiltonians
Recursive grouping of Pauli terms with anti-commuting sign-flip strings reduces compiled T depth by 85.2% and CX depth by 68.9% on a 24-spin Kagome Hamiltonian versus term-by-term controlled rotations.
-
Penalty-free quantum optimization applied to lattice protein folding
A QAOA variant without quadratic penalties, using independent sets in a conflict graph, is applied to lattice protein folding and validated on proteins up to length 14 via simulation and heuristic search.
-
Koopman--von Neumann Molecular Dynamics for Green--Kubo Transport Coefficients
Green-Kubo transport coefficients are recast as a quantum phase estimation readout problem inside the Koopman-von Neumann representation of classical NVE and NVT dynamics.
-
A Neutral-Atom Quantum Compiler with Application-Specific Layout and Hub-Assisted Shuttling
A compiler for neutral-atom NISQ devices introduces hub traps and shuttling rules to compile circuits that SWAP-only methods cannot handle in practical time, eliminating SWAP gates and improving a fidelity proxy on ro...
-
Error-corrected phase estimation averaged over variable grids on a trapped-ion quantum computer: hyperacuity spectra of a CO molecule adsorbed onto $\chi$-Fe$_5$C$_2$
QAVG reconstructs sub-resolution excitation spectra of a CO/χ-Fe5C2 model via averaged variable-grid QPE on Quantinuum H2-2 with Steane-code error correction.
-
Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
A new step size rule lets boosted stochastic Frank-Wolfe match ordinary stochastic Frank-Wolfe rates on nonconvex and quasar-convex problems and deliver faster empirical convergence on sparse logistic regression and q...
-
A Compilation Framework for Quantum Simulation of Non-unitary Dynamics
A new compilation framework treats quantum channels as first-class objects via ChannelIR and LindFront, achieving up to 99% gate count reduction on Lindbladian benchmarks versus unoptimized and Stinespring baselines.
-
Beyond Commutativity: Redesigning Trotter Decomposition via Local Symmetry
A local SU(2) symmetry-based product formula clusters Hamiltonian terms into at most four classes for exact two-qubit implementations, cutting commutator errors and gate count in many-body simulations.
-
From Hilbert's Tenth Problem to Quantum Speedup: Explicit Oracles for Bounded Diophantine Systems
Explicit reversible quantum oracles for bounded Diophantine systems achieve quadratic speedup with qubit count O((n + d²) log₂ N) and Toffoli depth O(q²).
-
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
QAP-Router models qubit routing as dynamic QAP and applies RL with a solution-aware Transformer to cut CNOT counts by 12-30% versus industry compilers on real circuit benchmarks.
-
TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
TuniQ uses RL with a dual-encoder, shaped rewards, and action masking to autotune quantum compilation passes, improving fidelity and speed over Qiskit while generalizing across backends and scaling to large circuits.
-
Per-Phase Fidelity Attribution for Quantum Compilers using HBR Decomposition
HBR decomposition quantifies per-phase fidelity loss in quantum compilers, revealing that routing causes up to 60% loss in search circuits while synthesis dominates Hamiltonian simulation, and correctly predicts SDK r...
-
The finite-shot help-harm boundary of zero-noise extrapolation
Zero-noise extrapolation has a finite-shot help-harm boundary below which it increases local mean-squared error due to variance penalties outweighing bias reduction.
-
Quantum Data Loading for Carleman Linearized Systems: Application to the Lattice-Boltzmann Equation
Presents LCNU-plus-embedding data loading for any polynomial Carleman-linearized autonomous system and applies it to the 3D LBE, yielding Ns ~ O(α²Q²) terms and explicit T-gate resource estimates for two solvers.
-
Clifft: Fast Exact Simulation of Near-Clifford Quantum Circuits
Clifft introduces a factored-state simulator that shifts exponential cost to a dynamic active subspace, generalizing Stim's compile-once model to near-Clifford circuits and enabling the first exact end-to-end simulati...
-
QAFE$^2$: Quantum accelerated multiscale finite element analysis
QAFE² uses quantum parallelism to evaluate every RVE problem at all quadrature points simultaneously, delivering polylog complexity in microscopic mesh size and exponential speedup over classical solvers.
-
Qurator: Scheduling Hybrid Quantum-Classical Workflows Across Heterogeneous Cloud Providers
Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at...
-
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
HQ-LP-FNO replaces part of the spectral channel mixing in a 3D FNO with a mode-shared VQC, reducing parameters by 15.6% and phase-fraction MAE by 26% on laser-processing surrogates while remaining stable under calibra...
-
Characterizing and Benchmarking Dynamic Quantum Circuits
Dynamarq is a new scalable benchmarking framework that defines structural features for dynamic quantum circuits and uses statistical models to predict hardware fidelity with transferable parameters.
-
Local Thermalization of SU(2) Lattice Gauge Fields on Quantum Computers
Quantum hardware simulation of SU(2) lattice gauge thermalization matches classical extrapolations up to 101 plaquettes after error mitigation, establishing feasibility for chaotic quantum field systems.
-
Explicit Block Encodings of Discrete Laplacians with Mixed Boundary Conditions
A modular block-encoding framework for finite-difference Laplacians supporting arbitrary combinations of Dirichlet, periodic, and Neumann boundary conditions across dimensions.
-
Cluster-Adaptive Sample-Based Quantum Diagonalization for Strongly Correlated Systems
CSQD improves SQD energy estimates in strongly correlated systems by replacing a global reference occupancy vector with cluster-specific ones, lowering energies by up to 15.95 mHa for stretched N2 and 57.82 mHa for [2Fe-2S].
-
Detecting Flakiness in Quantum Software: A Dynamic Testing Approach
Across 23 Qiskit Terra releases, 290 tests were flaky in 10,000 runs each; most fail rarely (about 1e-4 to 1e-3), so typical CI rerun budgets miss them.
-
Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks
Holographic isoTNS represent volume-law entangled states including arbitrary fermionic Gaussian states, Clifford states, and certain short-time evolved states using an extra network dimension with isometric constraints.
-
Excited state preparation on a quantum computer through adiabatic light-matter coupling
EXASP prepares the lowest bright excited state of a fermionic Hamiltonian by adiabatically evolving a ground-state-plus-photon system, demonstrated on Hubbard chains, methylene, and a two-qubit IBM chip.
-
Helios: A 98-qubit trapped-ion quantum computer
Helios achieves 98 qubits with single-qubit gate infidelity 2.5(1)×10^{-5}, two-qubit 7.9(2)×10^{-4}, and SPAM 4.8(6)×10^{-4}, enabling circuits beyond classical simulation.
-
Cobble: Compiling Block Encodings for Quantum Computational Linear Algebra
Cobble is a domain-specific language for quantum block encodings that compiles high-level matrix expressions to optimized circuits using analyses and quantum singular value transformation, achieving 2.6x-25.4x speedup...
-
Certifying localizable quantum properties with constant sample complexity
A new framework certifies global quantum properties including multipartite entanglement, circuit complexity, and quantum magic on small subsystems with constant sample complexity via local Pauli measurements.
-
Real-time adaptive quantum error correction by model-free multi-agent learning
Adaptive quantum error correction: multi-agent RL discovers QEC circuits offline; a bandit-controlled variational layer retrains online, cutting logical infidelity about 18x (qubit) and 3x (qutrit) under drifting bit/...
-
Trace-Based Reconstruction of Quantum Circuit Dataflow in Surface Codes
From per-patch binary activity traces of surface-code lattice surgery, TraceQ reconstructs the two-qubit gate dependency DAG and detects embedded subroutines with 74-95% success and no false positives, but only on syn...
-
Near-Heisenberg-limited parallel amplitude estimation with logarithmic depth circuit
A tunable parallel amplitude estimation algorithm achieves near-Heisenberg query scaling and logarithmic depth via GHZ states and quantum signal processing, with a near-optimality proof using the parallel quantum adve...
-
Inference of maximum parsimony phylogenetic trees with model-based classical and quantum methods
Introduces branch-based and other optimization models for maximum parsimony trees, with classical validation outperforming heuristics on GAPDH data and quantum simulations solving small instances exactly.
-
Optimized Qubit Routing for Commuting Gates via Integer Programming
A new exact integer-programming formulation, the Token Meeting Problem, provably minimizes swap gates when routing commuting-gate quantum circuits, with NP-hardness and asymptotic bounds.
-
Mitigating errors in state preparation and measurement with noncomputational states
Using extra transmon levels to measure state-preparation error lets a noise-learning protocol separate state-preparation, gate, and measurement errors, including for mid-circuit measurements.
-
Accelerated spin-adapted ground state preparation with non-variational quantum algorithms
A two-step penalty and post-processing scheme cuts the gate complexity of non-variational spin-adapted ground state preparation from quartic to quadratic scaling for spin-rotationally symmetric Hamiltonians.
-
Identifying Protein Co-regulatory Network Logic by Solving B-SAT Problems through Gate-based Quantum Computing
Grover's algorithm solves a B-SAT encoding of protein co-regulatory logic to recover high-likelihood Boolean models for a 5-protein neural development network from sparse data on quantum simulators and NISQ devices.
-
Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction
Position graph abstraction plus SHAPER/SHAW heuristics enable shuttling-aware compilation on trapped-ion machines, succeeding on extreme cases where baselines fail and yielding 1.45x average (up to 4x) speedups.
-
Laws of Quantum Programming
A formally verified collection of algebraic laws, normal forms, and a tail-recursion theorem for quantum programs, generalizing Hoare's classical laws.
-
Emergent unitary designs for encoded qubits from coherent errors and syndrome measurements
Coherent errors plus syndrome measurement on a surface code create emergent unitary designs on the logical qubit above a finite threshold that also marks the optimal error-correction and entanglement transitions.
-
From Circuits to Hardware: Benchmarking Standard and Qubit-Efficient Quantum Optimization on Real Hardware
Across 247 hardware runs, an empirical fidelity proxy near 0.1 (~770 two-qubit gates) marks noise-dominated execution for packing and independent-set problems, while QAP is structurally infeasible and compiled QAOA mo...
-
Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints
Engineered dual-rail code-space recovery extends SQD to symmetry-free Hamiltonians and yields lower Ritz energies than unencoded sample support on Ising models up to 36 sites.
-
A Scalable Approach to Solve the Carleman Linearized Burgers' Equation on a Quantum Computer
LCNU loading plus multigrid-warmed VQLS solves Carleman-linearized 1D Burgers on quantum hardware/simulators, with circuits scaling to 2^80 points.
-
Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information
A Mathlib-compatible Lean 4 library formalizes the DPI for sandwiched Rényi relative entropy on finite-dimensional systems and supplies reusable quantum-information infrastructure.
-
ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming
A dual-axis agent–framework benchmark finds TensorCircuit-NG and Codex with GPT-5.5 strongest on research quantum workflows, yet agent artifacts remain slower and less complete than expert TC code.
-
Quench Spectroscopy of Magnetic Excitations on a Superconducting Quantum Processor
Quench spectroscopy on a superconducting processor extracts magnon, bound-state and two-spinon spectra of L=101 XXZ chains, including from product states in the gapless regime without ground-state preparation.
-
Aicir: A Full-Stack Quantum Circuit Simulator with AscendNPU Support
Aicir is a full-stack quantum circuit simulator with a native Huawei Ascend NPU backend, using paired real tensors and fixed-rank gate views, validated with CPU fallback disabled.
-
Exact quantum circuits for lattice Boltzmann realization of the Dirac equation
Every step of the three-dimensional Dirac quantum lattice Boltzmann scheme is implemented as an exact quantum circuit that reproduces a classical solver to floating point precision.
-
Resource Estimation for Fault-Tolerant Quantum Programs
A quantum programming language with per-codeblock error-correction annotations and a compositional resource estimator that tracks space, time, and error rates through joint Pauli measurements and decoding latency.
-
Quantum Error Management in Practice: A Cross-Stack Benchmark
On a 156-qubit IBM Heron processor, Q-CTRL and Qedma QESEM reduced estimation error by 3.1x and 4.7x versus raw IBM execution, with QESEM using 7.5 to 11.1x the QPU time of Q-CTRL.
-
High-level quantum structured programs as quantum registers compositions
A formal framework for structured quantum programming where operations act on entire quantum registers, demonstrated by a quantum SMT solver prototype.
Reference graph
Works this paper leans on
-
[1]
Computational primitives Beside specifying the quantum circuit, the computa- tion’s output is also a key consideration. In quantum computing there exist two main primitives for captur- ing the output of a quantum circuit: sampling output bitstrings, or estimating observable expectation values. These primitives are the means by which circuits are evaluated...
-
[2]
Qiskit patterns A common flow for using Qiskit is through a four-step workflow, and the software architecture reflects this (see Figure 2). First, a classical problem is mapped to quan- tum computation by generating circuits that encode the problem. This step is best handled by domain-specific software or experts, although Qiskit provides a conve- nient c...
-
[3]
Integrated visualizations A popular feature of Qiskit are its visualization capa- bilities. This includes advanced circuit visualizers that display large circuits of varying characteristics (e.g. see Figure 3), target visualizer for giving an overview of the hardware topology and supported gates, and state and distribution visualizers for understanding co...
-
[4]
Tensor ordering convention When interpreting circuits, a convention must be picked for the ordering of qubits in a register, arguments of all instructions, and of instructions themselves. For example it is common that instructions in a circuit are ordered from left to right (i.e. temporal ordering), which is the opposite of how gate matrices are multiplie...
-
[5]
URL https: //qiskit.github.io/qiskit/
Airspeed velocity of an unladen Qiskit. URL https: //qiskit.github.io/qiskit/
-
[6]
URL https://github.com/ Qiskit/qiskit/graphs/contributors
Qiskit contributors. URL https://github.com/ Qiskit/qiskit/graphs/contributors
-
[7]
URL https://github.com/Qiskit/ qiskit
Qiskit on Github. URL https://github.com/Qiskit/ qiskit
-
[8]
URL https://pypi.org/project/qiskit/
Qiskit on the Python Package Index (PyPI). URL https://pypi.org/project/qiskit/
Show all 112 references
-
[9]
URL https://github.com/ qiskit-community/qiskit-cold-atom
Qiskit Cold Atom, . URL https://github.com/ qiskit-community/qiskit-cold-atom
-
[10]
URL https://github.com/ Qiskit/qiskit-ibm-runtime
Qiskit IBM Runtime, . URL https://github.com/ Qiskit/qiskit-ibm-runtime
-
[11]
URL https://github.com/Qiskit/ qiskit-ionq
Qiskit IonQ, . URL https://github.com/Qiskit/ qiskit-ionq
-
[12]
URL https://github.com/Qiskit/ qiskit-rigetti
Qiskit Rigetti, . URL https://github.com/Qiskit/ qiskit-rigetti
-
[13]
URL https://algassert.com/quirk
Quirk. URL https://algassert.com/quirk
-
[14]
URL https://unitary.fund/posts/2023_ survey_results
The State of quantum open source software 2023: sur- vey results. URL https://unitary.fund/posts/2023_ survey_results
2023
-
[15]
URL https://qiskit
Qiskit Ecosystem, 2024. URL https://qiskit. github.io/ecosystem/
2024
-
[16]
URL https://github
Circuit Knitting Toolbox, 2024. URL https://github. com/Qiskit-Extensions/circuit-knitting-toolbox
2024
-
[17]
URL https://github
Qiskit SAT Synthesis, 2024. URL https://github. com/qiskit-community/qiskit-sat-synthesis
2024
-
[18]
Improved sim- ulation of stabilizer circuits
Scott Aaronson and Daniel Gottesman. Improved sim- ulation of stabilizer circuits. Physical Review A , 70(5): 052328, 2004
2004
-
[19]
Qiskit pulse: pro- gramming quantum computers through the cloud with pulses
Thomas Alexander, Naoki Kanazawa, Daniel J Egger, Lauren Capelluto, Christopher J Wood, Ali Javadi- Abhari, and David C McKay. Qiskit pulse: pro- gramming quantum computers through the cloud with pulses. Quantum Science and Technology , 5(4):044006, 2020
2020
-
[20]
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Yuri Alexeev, Maximilian Amsler, Marco Antonio Bar- roca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young jai Choi, Frederic T Chong, Charles Chung, et al. Quantum-centric supercomputing for materials science: A perspective on challenges and future directions...
2024
-
[21]
Amazon Braket, 2020
Amazon Web Services. Amazon Braket, 2020. URL https://aws.amazon.com/braket/
2020
-
[22]
AutoQASM, 2024
Amazon Web Services. AutoQASM, 2024. URL https://github.com/amazon-braket/ amazon-braket-sdk-python/tree/feature/ autoqasm/src/braket/experimental/autoqasm. 13
2024
-
[23]
staq—a full-stack quantum processing toolkit
Matthew Amy and Vlad Gheorghiu. staq—a full-stack quantum processing toolkit. Quantum Science and Technology, 5(3):034016, 2020. URL https://github. com/softwareQinc/staq
2020
-
[24]
Polynomial-time T-depth optimization of Clifford+T circuits via matroid partitioning
Matthew Amy, Dmitri Maslov, and Michele Mosca. Polynomial-time T-depth optimization of Clifford+T circuits via matroid partitioning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 33(10):1476–1489, 2014
2014
-
[25]
Wang, Patrick Rall, Edward H
Elisa B¨ aumer, Vinay Tripathi, Derek S. Wang, Patrick Rall, Edward H. Chen, Swarnadeep Ma- jumdar, Alireza Seif, and Zlatko K Minev. Effi- cient Long-Range Entanglement using Dynamic Cir- cuits. arXiv preprint arXiv:2308.13065 , 2023. doi: 10.48550/arXiv.2308.13065
2023 doi
-
[26]
Purification of noisy entanglement and faith- ful teleportation via noisy channels
Charles H Bennett, Gilles Brassard, Sandu Popescu, Benjamin Schumacher, John A Smolin, and William K Wootters. Purification of noisy entanglement and faith- ful teleportation via noisy channels. Physical review let- ters, 76(5):722, 1996
1996
-
[27]
Mixed-state entan- glement and quantum error correction
Charles H Bennett, David P DiVincenzo, John A Smolin, and William K Wootters. Mixed-state entan- glement and quantum error correction. Physical Review A, 54(5):3824, 1996
1996
-
[28]
Pennylane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Shahnawaz Ahmed, Vishnu Ajith, M Sohaib Alam, Guillermo Alonso-Linaje, B AkashNarayanan, Ali Asadi, et al. Pennylane: Automatic differentiation of hybrid quantum-classical computations. arXiv preprint arXiv:1811.0496...
2018 arXiv
-
[29]
Assessing requirements to scale to practical quantum advantage
Michael E Beverland, Prakash Murali, Matthias Troyer, Krysta M Svore, Torsten Hoefler, Vadym Kliuchnikov, Guang Hao Low, Mathias Soeken, Aarthi Sundaram, and Alexander Vaschillo. Assessing requirements to scale to practical quantum advantage. arXiv preprint arXiv:2211.07629, 2022
2022
-
[30]
Universal quantum computation with ideal Clifford gates and noisy ancillas
Sergey Bravyi and Alexei Kitaev. Universal quantum computation with ideal Clifford gates and noisy ancillas. Physical Review A , 71(2):022316, 2005
2005
-
[31]
Quantum advantage with noisy shallow circuits
Sergey Bravyi, David Gosset, Robert Koenig, and Marco Tomamichel. Quantum advantage with noisy shallow circuits. Nature Physics , 16(10):1040–1045, 2020
2020
-
[32]
Superstaq: Deep optimization of quantum programs
Colin Campbell, Frederic T Chong, Denny Dahl, Paige Frederick, Palash Goiporia, Pranav Gokhale, Benjamin Hall, Salahedeen Issa, Eric Jones, Stephanie Lee, et al. Superstaq: Deep optimization of quantum programs. In 2023 IEEE International Conference on Quantum Computing and En...
2023
-
[33]
Variational quantum algorithms
Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Si- mon C Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, et al. Variational quantum algorithms. Nature Reviews Physics, 3(9):625–644, 2021
2021
-
[34]
Edward H. Chen, Guo-Yi Zhu, Ruben Verresen, Alireza Seif, Elisa B¨ aumer, David Layden, Nathanan Tan- tivasadakarn, Guanyu Zhu, Sarah Sheldon, Ashvin Vishwanath, Simon Trebst, and Abhinav Kan- dala. Realizing the Nishimori transition across the error threshold for constant-dep...
2023 doi
-
[35]
OpenQASM 3: A broader and deeper quan- tum assembly language
Andrew Cross, Ali Javadi-Abhari, Thomas Alexander, Niel De Beaudrap, Lev S Bishop, Steven Heidel, Colm A Ryan, Prasahnt Sivarajah, John Smolin, Jay M Gam- betta, et al. OpenQASM 3: A broader and deeper quan- tum assembly language. ACM Transactions on Quan- tum Computing , 3(3)...
2022
-
[36]
VarSaw: Application-tailored mea- surement error mitigation for variational quantum al- gorithms
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N Smith, Jonathan Mark Baker, and Frederic T Chong. VarSaw: Application-tailored mea- surement error mitigation for variational quantum al- gorithms. In Proceedings of the 28th ACM Interna- tional Conference on Ar...
2023
-
[37]
Cirq, July 2023
Cirq Developers. Cirq, July 2023. URL https:// github.com/quantumlib/Cirq
2023
-
[38]
Qiskit nature, April 2023
The Qiskit Nature developers and contributors. Qiskit nature, April 2023. URL https://doi.org/10.5281/ zenodo.8161252
2023
-
[40]
Pulse-efficient circuit transpilation for quantum applica- tions on cross-resonance-based hardware
Nathan Earnest, Caroline Tornow, and Daniel J Egger. Pulse-efficient circuit transpilation for quantum applica- tions on cross-resonance-based hardware. Physical Re- view Research, 3(4):043088, 2021
2021
-
[41]
The randomized measurement toolbox
Andreas Elben, Steven T Flammia, Hsin-Yuan Huang, Richard Kueng, John Preskill, Benoˆ ıt Vermersch, and Peter Zoller. The randomized measurement toolbox. Nature Reviews Physics , 5(1):9–24, 2023
2023
-
[42]
Middleware for quantum: An or- chestration of hybrid quantum-classical systems
Ismael Faro, Iskandar Sitdikov, David Garcia Vali˜ nas, Francisco Jose Martin Fernandez, Christopher Codella, and Jennifer Glick. Middleware for quantum: An or- chestration of hybrid quantum-classical systems. In 2023 IEEE International Conference on Quantum Soft- ware (QSW), ...
2023
-
[43]
Scalable circuits for preparing ground states on digital quantum computers: The schwinger model vacuum on 100 qubits
Roland C Farrell, Marc Illa, Anthony N Ciavarella, and Martin J Savage. Scalable circuits for preparing ground states on digital quantum computers: The schwinger model vacuum on 100 qubits. PRX Quantum, 5:020315, Apr 2024. doi:10.1103/PRXQuantum.5.020315. URL http://dx.doi.org...
2024 doi
-
[44]
Quantum Simulations of Hadron Dynamics in the Schwinger Model using 112 Qubits
Roland C Farrell, Marc Illa, Anthony N Ciavarella, and Martin J Savage. Quantum Simulations of Hadron Dynamics in the Schwinger Model using 112 Qubits. arXiv preprint arXiv:2401.08044 , 2024. doi: 10.48550/arXiv.2401.08044
2024 doi
-
[45]
Quipper: a scalable quantum programming language
Alexander S Green, Peter LeFanu Lumsdaine, Neil J Ross, Peter Selinger, and Benoˆ ıt Valiron. Quipper: a scalable quantum programming language. In Proceed- ings of the 34th ACM SIGPLAN conference on Pro- gramming language design and implementation , pages 333–342, 2013. URL ht...
2013
-
[46]
Encoding a magic state with beyond break-even fidelity
Riddhi S Gupta, Neereja Sundaresan, Thomas Alexan- der, Christopher J Wood, Seth T Merkel, Michael B Healy, Marius Hillenbrand, Tomas Jochym-O’Connor, James R Wootton, Theodore J Yoder, Andrew W Cross, Maika Takita, and Benjamin J Brown. Encoding a magic state with beyond brea...
2023
-
[47]
Efficient tech- niques to gpu accelerations of multi-shot quantum com- puting simulations
Hiroshi Horii, Christopher Wood, et al. Efficient tech- niques to gpu accelerations of multi-shot quantum com- puting simulations. arXiv preprint arXiv:2308.03399 , 2023
2023
-
[48]
CaQR: A compiler-assisted approach for qubit reuse through dynamic circuit
Fei Hua, Yuwei Jin, Yanhao Chen, Suhas Vittal, Kevin Krsulich, Lev S Bishop, John Lapeyre, Ali Javadi- Abhari, and Eddy Z Zhang. CaQR: A compiler-assisted approach for qubit reuse through dynamic circuit. In Proceedings of the 28th ACM International Conference on Architectural...
2023
-
[49]
Qasmtrans: A qasm based quantum transpiler framework for nisq devices
Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z Zhang, Travis S Humble, et al. Qasmtrans: A qasm based quantum transpiler framework for nisq devices. arXiv preprint arXiv:2308.07581 , 2023. URL https: //github.com/pnnl/qasmtrans
2023
-
[50]
Predicting many properties of a quantum system from very few measurements
Hsin-Yuan Huang, Richard Kueng, and John Preskill. Predicting many properties of a quantum system from very few measurements. Nature Physics , 16(10):1050– 1057, 2020
2020
-
[51]
Exact and practical pat- tern matching for quantum circuit optimization
Raban Iten, Romain Moyard, Tony Metger, David Sut- ter, and Stefan Woerner. Exact and practical pat- tern matching for quantum circuit optimization. ACM Transactions on Quantum Computing , 3(1):1–41, 2022
2022
-
[52]
Scaffcc: Scalable compilation and analysis of quantum programs
Ali Javadi-Abhari, Shruti Patil, Daniel Kudrow, Jeff Heckey, Alexey Lvov, Frederic T Chong, and Margaret Martonosi. Scaffcc: Scalable compilation and analysis of quantum programs. Parallel Computing , 45:2–17, 2015. URL https://github.com/epiqc/ScaffCC
2015
-
[53]
Qiskit experiments: A python package to characterize and calibrate quantum comput- ers
Naoki Kanazawa, Daniel J Egger, Yael Ben-Haim, He- lena Zhang, William E Shanks, Gadi Aleksandrowicz, and Christopher J Wood. Qiskit experiments: A python package to characterize and calibrate quantum comput- ers. Journal of Open Source Software , 8(84):5329, 2023
2023
-
[54]
Qiskit as a sim- ulation platform for measurement-based quantum com- putation
Muhammad Kashif and Saif Al-Kuwari. Qiskit as a sim- ulation platform for measurement-based quantum com- putation. In 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C) , pages 152–159. IEEE, 2022
2022
-
[55]
Evidence for the utility of quantum computing before fault tolerance
Youngseok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei, Ewout Van Den Berg, Sami Rosenblatt, Hasan Nayfeh, Yantao Wu, Michael Zaletel, Kristan Temme, and Abhinav Kandala. Evidence for the utility of quantum computing before fault tolerance. Nature, 618(7965):500–505, 2023
2023
-
[56]
Pyzx: Large scale automated diagrammatic reasoning
Aleks Kissinger and John van de Wetering. Pyzx: Large scale automated diagrammatic reasoning. arXiv preprint arXiv:1904.04735 , 2019. URL https:// github.com/Quantomatic/pyzx/tree/master
1904
-
[57]
Quantum measurements and the abelian stabilizer problem
A Yu Kitaev. Quantum measurements and the abelian stabilizer problem. arXiv preprint quant-ph/9511026 , 1995
1995
-
[58]
Practical and effi- cient quantum circuit synthesis and transpiling with re- inforcement learning
David Kremer, Victor Villar, Hanhee Paik, Ivan Duran, Ismael Faro, and Juan Cruz-Benito. Practical and effi- cient quantum circuit synthesis and transpiling with re- inforcement learning. arXiv preprint arXiv:2405.13196 , 2024
2024
-
[59]
2QAN: A quantum compiler for 2-local qubit hamiltonian simulation algo- rithms
Lingling Lao and Dan E Browne. 2QAN: A quantum compiler for 2-local qubit hamiltonian simulation algo- rithms. In Proceedings of the 49th Annual International Symposium on Computer Architecture , pages 351–365,
-
[60]
URL https://github.com/lllingoo/2QAN
-
[61]
Llvm: A compila- tion framework for lifelong program analysis & trans- formation
Chris Lattner and Vikram Adve. Llvm: A compila- tion framework for lifelong program analysis & trans- formation. In International symposium on code genera- tion and optimization, 2004. CGO 2004. , pages 75–86. IEEE, 2004
2004
-
[62]
Qompress: Efficient compilation for ququarts exploiting partial and mixed radix opera- tions for communication reduction
Andrew Litteken, Lennart Maximilian Seifert, Jason Chadwick, Natalia Nottingham, Frederic T Chong, and Jonathan M Baker. Qompress: Efficient compilation for ququarts exploiting partial and mixed radix opera- tions for communication reduction. In Proceedings of the 28th ACM Int...
2023
-
[63]
Universal quantum simulators
Seth Lloyd. Universal quantum simulators. Science, 273 (5278):1073–1078, 1996
1996
-
[64]
Ritajit Majumdar, Pedro Rivero, Friederike Metz, Areeq Hasan, and Derek S. Wang. Best practices for quantum error mitigation with digital zero-noise extrap- olation. arXiv preprint arXiv:2307.05203 , 2023. doi: 10.48550/arXiv.2307.05203
2023 doi
-
[65]
A doubly stochas- tic matrices-based approach to optimal qubit routing
Nicola Mariella and Sergiy Zhuk. A doubly stochas- tic matrices-based approach to optimal qubit routing. Quantum Information Processing, 22(7):264, 2023. URL https://github.com/qiskit-community/dsm-swap
2023
-
[66]
Matsakis and Felix S
Nicholas D. Matsakis and Felix S. Klock. The Rust language. In Proceedings of the 2014 ACM SIGAda An- nual Conference on High Integrity Language Technol- ogy, HILT ’14, pages 103–104, New York, NY, USA,
2014
-
[67]
ISBN 9781450332170
Association for Computing Machinery. ISBN 9781450332170. doi:10.1145/2663171.2663188. URL https://doi.org/10.1145/2663171.2663188
-
[68]
OpenFermion: the electronic structure package for quantum computers
Jarrod R McClean, Nicholas C Rubin, Kevin J Sung, Ian D Kivlichan, Xavier Bonet-Monroig, Yudong Cao, Chengyu Dai, E Schuyler Fried, Craig Gidney, Brendan Gimby, et al. OpenFermion: the electronic structure package for quantum computers. Quantum Science and Technology, 5(3):034...
2020
-
[69]
MIRAGE: Quantum circuit decomposition and routing collaborative design using mirror gates
Evan McKinney, Michael Hatridge, and Alex K Jones. MIRAGE: Quantum circuit decomposition and routing collaborative design using mirror gates. arXiv preprint arXiv:2308.03874, 2023. URL https://github.com/ Pitt-JonesLab/mirror-gates
2023
-
[70]
Benchmarking dig- ital quantum simulations and optimization above hundreds of qubits using quantum critical dynam- ics
Alexander Miessen, Daniel J Egger, Ivano Tav- erneilli, and Guglielmo Mazzola. Benchmarking dig- ital quantum simulations and optimization above hundreds of qubits using quantum critical dynam- ics. arXiv preprint arXiv:2404.08053 , 2024. doi: 10.48550/arXiv.2404.08053
2024 doi
-
[71]
J. A. Montanez-Barrera and Kristel Michielsen. To- wards a universal QAOA protocol: Evidence of quan- tum advantage in solving combinatorial optimization problems. arXiv preprint arXiv:2405.09169 , 2024. doi: 10.48550/arXiv.2405.09169
2024 doi
-
[72]
Experimental benchmarking of an automated de- terministic error-suppression workflow for quantum al- gorithms
Pranav S Mundada, Aaron Barbosa, Smarak Maity, Yu- lun Wang, Thomas Merkh, TM Stace, Felicity Nielson, Andre RR Carvalho, Michael Hush, Michael J Biercuk, et al. Experimental benchmarking of an automated de- terministic error-suppression workflow for quantum al- gorithms. Phys...
2023
-
[73]
Noise- adaptive compiler mappings for noisy intermediate-scale quantum computers
Prakash Murali, Jonathan M Baker, Ali Javadi-Abhari, Frederic T Chong, and Margaret Martonosi. Noise- adaptive compiler mappings for noisy intermediate-scale quantum computers. In Proceedings of the twenty- fourth international conference on architectural support 15 for progra...
2019
-
[74]
Software mitigation of crosstalk on noisy intermediate-scale quantum computers
Prakash Murali, David C McKay, Margaret Martonosi, and Ali Javadi-Abhari. Software mitigation of crosstalk on noisy intermediate-scale quantum computers. InPro- ceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operati...
2020
-
[75]
Optimal qubit assignment and rout- ing via integer programming
Giacomo Nannicini, Lev S Bishop, Oktay G¨ unl¨ uk, and Petar Jurcevic. Optimal qubit assignment and rout- ing via integer programming. ACM Transactions on Quantum Computing , 4(1):1–31, 2022. URL https:// github.com/qiskit-community/qiskit-bip-mapper
2022
-
[76]
Quantum com- putation and quantum information
Michael A Nielsen and Isaac L Chuang. Quantum com- putation and quantum information. Phys. Today, 54(2): 60, 2001
2001
-
[77]
Op- timal synthesis of linear reversible circuits
Ketan N Patel, Igor L Markov, and John P Hayes. Op- timal synthesis of linear reversible circuits. Quantum Inf. Comput. , 8(3):282–294, 2008
2008
-
[78]
Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
Elijah Pelofske, Andreas B¨ artschi, Lukasz Cincio, John Golden, and Stephan Eidenbenz. Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs. arXiv preprint arXiv:2312.00997 ,
-
[79]
doi:10.48550/arXiv.2312.00997
-
[80]
Quantum circuit compilation and hybrid computation using Pauli-based computation
Filipa CR Peres and Ernesto F Galv˜ ao. Quantum circuit compilation and hybrid computation using Pauli-based computation. Quantum, 7:1126, 2023
2023
-
[81]
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J Love, Al´ an Aspuru-Guzik, and Jeremy L O’brien. A variational eigenvalue solver on a photonic quantum processor. Na- ture communications, 5(1):4213, 2014
2014
-
[82]
Optimal synthesis into fixed XX interactions
Eric C Peterson, Lev S Bishop, and Ali Javadi-Abhari. Optimal synthesis into fixed XX interactions. Quantum, 6:696, 2022
2022
-
[83]
Qiskit Dynamics: A python package for simulating the time dynamics of quantum systems
Daniel Puzzuoli, Christopher J Wood, Daniel J Egger, Benjamin Rosand, and Kento Ueda. Qiskit Dynamics: A python package for simulating the time dynamics of quantum systems. Journal of Open Source Software , 8 (90):5853, 2023
2023
-
[84]
Oqpy: Openqasm 3 + openpulse in python, Jan- uary 2024
Philip Reinhold, Stephanie Teo, Jean-Christophe Jaskula, Li Chen, Brandur Thorgrimsson, Anurag Mishra, Mitch D’Ewart, Ryan Shaffer, Erik Davis, Yi- Ting Chen, Prasahnt Sivarajah, and Peter Karalekas. Oqpy: Openqasm 3 + openpulse in python, Jan- uary 2024. URL https://doi.org/1...
2024 doi
-
[85]
Tran, Seiji Yunoki, and Antonio Mezzacapo
Javier Robledo-Moreno, Mario Motta, Holger Haas, Ali Javadi-Abhari, Petar Jurcevic, William Kirby, Simon Martiel, Kunal Sharma, Sandeep Sharma, Tomonori Shirakawa, Iskandar Sitdikov, Rong-Yang Sun, Kevin J Sung, Maika Takita, Minh C. Tran, Seiji Yunoki, and Antonio Mezzacapo. ...
2024 doi
-
[86]
Qrisp: A framework for com- pilable high-level programming of gate-based quantum computers
Raphael Seidel, Sebastian Bock, Nikolay Tcholtchev, and Manfred Hauswirth. Qrisp: A framework for com- pilable high-level programming of gate-based quantum computers. PlanQC-Programming Languages for Quan- tum Computing , 2022
2022
-
[87]
Suppressing correlated noise in quantum computers via context-aware compil- ing
Alireza Seif, Haoran Liao, Vinay Tripathi, Kevin Kr- sulich, Moein Malekakhlagh, Mirko Amico, Petar Ju- rcevic, and Ali Javadi-Abhari. Suppressing correlated noise in quantum computers via context-aware compil- ing. 2024
2024
-
[88]
Unveiling clean two-dimensional discrete time quasicrystals on a digital quantum computer
Kazuya Shinjo, Kazuhiro Seki, Tomonori Shirakawa, Rong-Yang Sun, and Seiji Yunoki. Unveiling clean two-dimensional discrete time quasicrystals on a digital quantum computer. arXiv preprint arXiv:2403.16718 ,
-
[89]
doi:10.48550/arXiv.2403.16718
-
[90]
Wang, Haimeng Zhang, Nikhil Harle, Alireza Seif, Ramis Movassagh, and Zlatko Minev
Oles Shtanko, Derek S. Wang, Haimeng Zhang, Nikhil Harle, Alireza Seif, Ramis Movassagh, and Zlatko Minev. Uncovering local integrability in quantum many- body dynamics. arXiv preprint arXiv:2307.07552 , 2023. doi:10.48550/arXiv.2307.07552
2023 doi
-
[91]
t |ket⟩: a retargetable compiler for NISQ devices
Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, and Ross Duncan. t |ket⟩: a retargetable compiler for NISQ devices. Quantum Sci- ence and Technology , 6(1):014003, 2020. URL https: //github.com/CQCL/tket
2020
-
[92]
Error mitigation in quantum computers through instruction scheduling
Kaitlin N Smith, Gokul Subramanian Ravi, Prakash Murali, Jonathan M Baker, Nathan Earnest, Ali Javadi- Abhari, and Frederic T Chong. Error mitigation in quantum computers through instruction scheduling. arXiv preprint arXiv:2105.01760 , 2021
2021
-
[93]
|01000⟩!
Robert S Smith. Someone shouts, “ |01000⟩!” who is excited? arXiv preprint arXiv:1711.02086 , 2017
2017
-
[94]
An open-source, industrial-strength optimizing compiler for quantum programs
Robert S Smith, Eric C Peterson, Mark G Skilbeck, and Erik J Davis. An open-source, industrial-strength optimizing compiler for quantum programs. Quantum Science and Technology, 5(4):044001, 2020
2020
-
[95]
C2QA-bosonic qiskit
Timothy J Stavenger, Eleanor Crane, Kevin C Smith, Christopher T Kang, Steven M Girvin, and Nathan Wiebe. C2QA-bosonic qiskit. In 2022 IEEE High Performance Extreme Computing Conference (HPEC) , pages 1–8. IEEE, 2022
2022
-
[96]
ProjectQ: an open source software framework for quan- tum computing
Damian S Steiger, Thomas H¨ aner, and Matthias Troyer. ProjectQ: an open source software framework for quan- tum computing. Quantum, 2:49, 2018. URL https: //github.com/ProjectQ-Framework/ProjectQ
2018
-
[97]
Qulacs: a fast and versatile quantum circuit simulator for research purpose
Yasunari Suzuki, Yoshiaki Kawase, Yuya Masumura, Yuria Hiraga, Masahiro Nakadai, Jiabao Chen, Ken M Nakanishi, Kosuke Mitarai, Ryosuke Imai, Shiro Tamiya, et al. Qulacs: a fast and versatile quantum circuit simulator for research purpose. Quantum, 5: 559, 2021. URL https://git...
2021
-
[98]
CutQC: using small quantum computers for large quantum circuit evalua- tions
Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, and Margaret Martonosi. CutQC: using small quantum computers for large quantum circuit evalua- tions. In Proceedings of the 26th ACM International conference on architectural support for programming languages and operati...
2021
-
[99]
Giallar: Push-button verification for the qiskit quantum compiler
Runzhou Tao, Yunong Shi, Jianan Yao, Xupeng Li, Ali Javadi-Abhari, Andrew W Cross, Frederic T Chong, and Ronghui Gu. Giallar: Push-button verification for the qiskit quantum compiler. In Proceedings of the 43rd ACM SIGPLAN International Conference on Program- ming Language Des...
2022
-
[100]
RustworkX: A high- performance graph library for python
Matthew Treinish, Ivan Carvalho, Georgios Tsilim- igkounakis, and Nahum S´ a. RustworkX: A high- performance graph library for python. Journal of Open Source Software , 7(79):3968, 2022. doi: 10.21105/joss.03968. URL https://doi.org/10. 21105/joss.03968. 16
2022 doi
-
[101]
Probabilistic error cancella- tion with sparse Pauli–Lindblad models on noisy quan- tum processors
Ewout Van Den Berg, Zlatko K Minev, Abhinav Kan- dala, and Kristan Temme. Probabilistic error cancella- tion with sparse Pauli–Lindblad models on noisy quan- tum processors. Nature Physics, pages 1–6, 2023
2023
-
[102]
Scaling quantum computing with dynamic circuits
Almudena Carrera Vazquez, Caroline Tornow, Diego Riste, Stefan Woerner, Maika Takita, and Daniel J Eg- ger. Scaling quantum computing with dynamic circuits. arXiv preprint arXiv:2402.17833 , 2024
2024
-
[103]
Dy- namical decoupling of open quantum systems
Lorenza Viola, Emanuel Knill, and Seth Lloyd. Dy- namical decoupling of open quantum systems. Physical Review Letters, 82(12):2417, 1999
1999
-
[104]
QuantumNAS: Noise-adaptive search for robust quantum circuits
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Zirui Li, Yu- jun Lin, David Z Pan, Frederic T Chong, and Song Han. QuantumNAS: Noise-adaptive search for robust quantum circuits. In The 28th IEEE International Symposium on High-Performance Computer Architec- ture (HPCA-28) , 2022. URL h...
2022
-
[105]
A stabi- lizer framework for the contextual subspace variational quantum eigensolver and the noncontextual projection ansatz
Tim Weaving, Alexis Ralli, William M Kirby, Andrew Tranter, Peter J Love, and Peter V Coveney. A stabi- lizer framework for the contextual subspace variational quantum eigensolver and the noncontextual projection ansatz. Journal of Chemical Theory and Computa- tion, 19(3):808–...
2023
-
[106]
Na- tive two-qubit gates in fixed-coupling, fixed-frequency transmons beyond cross-resonance interaction
Ken Xuan Wei, Isaac Lauer, Emily Pritchett, William Shanks, David C McKay, and Ali Javadi-Abhari. Na- tive two-qubit gates in fixed-coupling, fixed-frequency transmons beyond cross-resonance interaction. arXiv preprint arXiv:2310.12146, 2023
2023
-
[107]
Egger, Stefan Filipp, Frank K
Nicolas Wittler, Federico Roy, Kevin Pack, Max Wern- inghaus, Anurag Saha Roy, Daniel J. Egger, Stefan Filipp, Frank K. Wilhelm, and Shai Machnes. Inte- grated tool set for control, calibration, and character- ization of quantum devices applied to superconduct- ing qubits. Phy...
2021 doi
-
[108]
Nurdin, Hendra, and Naoki Yamamoto
Toshiki Yasuda, Yudai Suzuki, Tomoyuki Kub- ota, Kohei Nakajima, Qi Gao, Wenlong Zhang, Satoshi Shimono, I. Nurdin, Hendra, and Naoki Yamamoto. Quantum reservoir computing with repeated measurements on superconducting de- vices. arXiv preprint arXiv:2310.06706 , 2023. doi: 10....
2023 doi
-
[109]
Sim- ulating large-size quantum spin chains on cloud-based superconducting quantum computers
Hongye Yu, Yusheng Zhao, Tzu-Chieh Wei, et al. Sim- ulating large-size quantum spin chains on cloud-based superconducting quantum computers. Physical Review Research, 5(1):013183, 2023
2023
-
[110]
Time-optimal qubit mapping
Chi Zhang, Ari B Hayes, Longfei Qiu, Yuwei Jin, Yan- hao Chen, and Eddy Z Zhang. Time-optimal qubit mapping. In Proceedings of the 26th ACM Interna- tional Conference on Architectural Support for Program- ming Languages and Operating Systems , pages 360–374,
-
[111]
URL https://github.com/qiskit-community/ qiskit-toqm
-
[112]
OneQ: A compilation framework for photonic one-way quantum computation
Hezi Zhang, Anbang Wu, Yuke Wang, Gushu Li, Hassan Shapourian, Alireza Shabani, and Yufei Ding. OneQ: A compilation framework for photonic one-way quantum computation. In Proceedings of the 50th Annual Inter- national Symposium on Computer Architecture , pages 1–14, 2023
2023
-
[113]
OMhmLj6AWc/eB2JdH4sbujYqTD4=
Victoria Zhang and Paul D. Nation. Character- izing quantum processors using discrete time crys- tals. arXiv preprint arXiv:2301.07625 , 2023. doi: 10.48550/arXiv.2301.07625. 17 Appendix A: Suppressing errors in dynamic circuits In this appendix we discuss some experimental de...
2023 doi
Reviewed May 10, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.