Sdim is the first open-source qudit stabilizer simulator supporting all dimensions, enabling circuit evaluation and sampling for qudit fault-tolerant quantum computing research.
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Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
A programmable silicon photonic chip excited with single photons implements quantum reservoir computing for quantum state tomography, entanglement measurement via negativity, and classical tasks, with an imperfection mitigation technique that improves accuracy over the classical regime.
Hybrid Path-Sums offer a new symbolic framework with rewriting rules and assertions to represent, simplify, and verify properties of hybrid quantum-classical programs.
Extensive charge monitoring in free fermion systems creates discontinuities in hydrodynamic profiles and suppresses transport in the Zeno limit by treating the non-local Lindbladian as localized impurities within a GHD description.
NEB-adapted ravine ensembles for QNNs classifying concentratable entanglement outperform naive methods when local-prediction variability is high and reduce costs, with ravines persisting under depth and qubit scaling.
A weak-coupling approximation reduces classical overhead in quantum circuit knitting to polynomial cost when one qubit couples weakly to others, shown on QAOA-style layered circuits.
A communication-aware multi-GPU distribution approach for tensor network contraction reports 7-173x extra speedup over slicing on 8 H100 GPUs and 42x to 67,869x on 1024 GPUs.
End-to-end QSP-based quantum circuits solve linear PDEs on IBM hardware with tunable error and handle non-homogeneous Dirichlet boundaries for a plasma Poisson problem.
HAML meta-learns a mapping from control inputs and device parameters to effective two-qubit Hamiltonian coefficients via simulation training, then adapts online with few measurements, recovering coefficients where Schrieffer-Wolff perturbation theory fails.
An architecture-aware unitary-synthesis transpiler is claimed to cut CNOT counts by 6-36% and run 39-940x faster than Qiskit/TKET/Pennylane on IQM Garnet and IBM Marrakesh circuits with 3-11 qubits.
A new QNN architecture with unified graph, HAL, and ONNX pipeline enables cross-framework and cross-hardware QML with training time within 8% of native implementations and identical accuracy on Iris, Wine, and MNIST-4 tasks.
Reformulation of Cartan-Khaneja-Glaser decomposition for SU(2^n) via involutive automorphisms and symmetric Lie algebra decompositions yields a stable recursive factorization with open-source Python code validated on SU(8) and SU(16).
A resource estimation framework for distributed fault-tolerant quantum computers based on lattice surgery identifies feasible hardware configurations for eight applications across thousands of setups, showing that architecture design must be guided by resource analysis for scalability.
Gaussian randomized rounding on two-qubit marginals of depth-D circuits with local depolarizing noise p yields samples whose expected Max-Cut cost matches the noisy quantum device up to an approximation ratio of 1-O[(1-p)^D].
QARMA applies transformer-augmented reinforcement learning to qubit allocation and reuse in modular quantum systems, reporting up to 86% average reduction in inter-core communications versus optimized Qiskit baselines.
Presents a tensor-parallel distributed MPS method with block-cyclic partitioning and pivoted QR that emulates Google's RCS benchmark at bond dimension 16384 on 32 nodes, claiming three orders of magnitude better accuracy than prior methods.
PennyLang dataset of 3,347 PennyLane samples boosts LLM code generation success via RAG from 8.7% to 41.7% for Qwen 7B and 78.8% to 84.8% for LLaMa 4.
Hard-core boson algebra is reviewed and extended for quantum circuit simulation with reported speedups over Qiskit and a new genetic-algorithm application for circuit synthesis.
Reports experimental generation of remote Bell entanglement between two giant atoms with fidelity 0.89 using driven-dissipative stabilization and in-situ frequency tuning.
QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.
Treating FALQON's per-layer δ_k and M_k as classical decision variables yields higher success probability and better QAOA warm starts than fixed-hyperparameter FALQON on 12-vertex 3-regular graphs.
Numerical study demonstrates controlled transport of Z4 parafermion edge states in a ladder model and quantifies the adiabatic speed limit under realistic conditions.
Parametrized quantum circuit anomaly detector trained on classical hardware and tested on IBM devices for handwritten digits and simulated long-lived particle signals in HEP, but does not outperform classical deep neural networks due to noise and amplitude encoding requirements.
citing papers explorer
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Sdim: A Qudit Stabilizer Simulator
Sdim is the first open-source qudit stabilizer simulator supporting all dimensions, enabling circuit evaluation and sampling for qudit fault-tolerant quantum computing research.
-
Forward-Assisted Purification: A Spatiotemporal Framework Beyond Conventional Limits
Introduces forward-assisted purification via a new spatiotemporal framework that outperforms conventional static purification by up to 50x in copy efficiency and circumvents no-purification theorems for Bell states.
-
Quantum and classical processing with photonic quantum machine learning
A programmable silicon photonic chip excited with single photons implements quantum reservoir computing for quantum state tomography, entanglement measurement via negativity, and classical tasks, with an imperfection mitigation technique that improves accuracy over the classical regime.
-
Hybrid Path-Sums for Hybrid Quantum Programs
Hybrid Path-Sums offer a new symbolic framework with rewriting rules and assertions to represent, simplify, and verify properties of hybrid quantum-classical programs.
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Generalized hydrodynamics of free fermions under extensive-charge monitoring
Extensive charge monitoring in free fermion systems creates discontinuities in hydrodynamic profiles and suppresses transport in the Zeno limit by treating the non-local Lindbladian as localized impurities within a GHD description.
-
Ravines in quantum cost landscapes: opportunities for improved VQA predictions
NEB-adapted ravine ensembles for QNNs classifying concentratable entanglement outperform naive methods when local-prediction variability is high and reduce costs, with ravines persisting under depth and qubit scaling.
-
Scalable quantum circuit knitting using a weak-coupling approximation
A weak-coupling approximation reduces classical overhead in quantum circuit knitting to polynomial cost when one qubit couples weakly to others, shown on QAOA-style layered circuits.
-
Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs
A communication-aware multi-GPU distribution approach for tensor network contraction reports 7-173x extra speedup over slicing on 8 H100 GPUs and 42x to 67,869x on 1024 GPUs.
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Quantum Signal Processing for Linear PDEs: Circuit Design and Experimental Validation
End-to-end QSP-based quantum circuits solve linear PDEs on IBM hardware with tunable error and handle non-homogeneous Dirichlet boundaries for a plasma Poisson problem.
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Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning
HAML meta-learns a mapping from control inputs and device parameters to effective two-qubit Hamiltonian coefficients via simulation training, then adapts online with few measurements, recovering coefficients where Schrieffer-Wolff perturbation theory fails.
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Architecture-aware Unitary Synthesis
An architecture-aware unitary-synthesis transpiler is claimed to cut CNOT counts by 6-36% and run 39-940x faster than Qiskit/TKET/Pennylane on IQM Garnet and IBM Marrakesh circuits with 3-11 qubits.
-
Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
A new QNN architecture with unified graph, HAL, and ONNX pipeline enables cross-framework and cross-hardware QML with training time within 8% of native implementations and identical accuracy on Iris, Wine, and MNIST-4 tasks.
-
Cartan-Khaneja-Glaser decomposition of $SU(2^n)$ via involutive automorphisms
Reformulation of Cartan-Khaneja-Glaser decomposition for SU(2^n) via involutive automorphisms and symmetric Lie algebra decompositions yields a stable recursive factorization with open-source Python code validated on SU(8) and SU(16).
-
Architecting Distributed Quantum Computers: Design Insights from Resource Estimation
A resource estimation framework for distributed fault-tolerant quantum computers based on lattice surgery identifies feasible hardware configurations for eight applications across thousands of setups, showing that architecture design must be guided by resource analysis for scalability.
-
Sampling (noisy) quantum circuits through randomized rounding
Gaussian randomized rounding on two-qubit marginals of depth-D circuits with local depolarizing noise p yields samples whose expected Max-Cut cost matches the noisy quantum device up to an approximation ratio of 1-O[(1-p)^D].
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Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures
QARMA applies transformer-augmented reinforcement learning to qubit allocation and reuse in modular quantum systems, reporting up to 86% average reduction in inter-core communications versus optimized Qiskit baselines.
-
Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States
Presents a tensor-parallel distributed MPS method with block-cyclic partitioning and pivoted QR that emulates Google's RCS benchmark at bond dimension 16384 on 32 nodes, claiming three orders of magnitude better accuracy than prior methods.
-
A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
PennyLang dataset of 3,347 PennyLane samples boosts LLM code generation success via RAG from 8.7% to 41.7% for Qwen 7B and 78.8% to 84.8% for LLaMa 4.
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Hard-core Bosons in Action: Applications to Quantum Circuits
Hard-core boson algebra is reviewed and extended for quantum circuit simulation with reported speedups over Qiskit and a new genetic-algorithm application for circuit synthesis.
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Driven-dissipative entanglement of distant giant atoms
Reports experimental generation of remote Bell entanglement between two giant atoms with fidelity 0.89 using driven-dissipative stabilization and in-situ frequency tuning.
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Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.
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Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning
Treating FALQON's per-layer δ_k and M_k as classical decision variables yields higher success probability and better QAOA warm starts than fixed-hyperparameter FALQON on 12-vertex 3-regular graphs.
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Shuttling of $\mathbb{Z}_4$ parafermions in an electronic ladder model
Numerical study demonstrates controlled transport of Z4 parafermion edge states in a ladder model and quantifies the adiabatic speed limit under realistic conditions.
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Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits
Parametrized quantum circuit anomaly detector trained on classical hardware and tested on IBM devices for handwritten digits and simulated long-lived particle signals in HEP, but does not outperform classical deep neural networks due to noise and amplitude encoding requirements.
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Geometric dependence of critical-current variation in Al/AlO${\rm _x}$/Al Josephson junctions: a model-based analysis
Model-based statistical analysis identifies Al film thickness fluctuations as the dominant source of critical current variation in Al/AlOx/Al Josephson junctions, with 30-degree deposition improving uniformity to 1.2% RSD over 9.75 mm.
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Noise and Configuration Recovery Impact on Quantum Selected Configuration Interaction
Noise in LUCJ sampling for QSCI on N2 expands the configuration space beyond the ideal ansatz and, when paired with recovery, produces more accurate CI energies than noiseless sampling.
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Probing the Planck scale with quantum computation
A 500-logical-qubit quantum computer could reject laboratory-confined theories by surpassing the Planck-scale operation rate of 2^491 m^{-3} s^{-1}, with a 1600-qubit machine limited by the observable universe.
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Qimax: Efficient quantum simulation via GPU-accelerated extended stabilizer formalism
Qimax parallelizes the extended stabilizer formalism for GPU execution and reports faster simulation of near-Clifford circuits than Qiskit or Pennylane in selected cases.
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Accelerating Quantum Eigensolver Algorithms With Machine Learning
XGBoost models trained on ≤16-qubit data predict eigensolver hyperparameters and reduce error by 0.12% on 28-qubit systems.
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Lecture Notes on Replica Tensor Networks for Random Quantum Circuits
Lecture notes and accompanying library teach replica tensor network methods to compute circuit-averaged observables in random quantum circuits by mapping them to classical statistical mechanics models.
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Fundamentals and Applications of Hybrid Electro- and Opto-mechanical system coupled to Superconducting Qubit: A Short Review
A review surveying coupling mechanisms in superconducting qubit-mechanical resonator hybrids and their extension to optomechanical architectures for quantum sensing applications.
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The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
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Introduction to matrix-product states and tensor networks
Introductory lecture notes on tensor networks with emphasis on matrix-product states, their algorithms, higher-dimensional generalizations, and applications to mixed states and open quantum systems, accompanied by Julia code.
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Crosstalk In Contemporary Quantum Devices
Review synthesizing crosstalk mechanisms, mitigation strategies, and security vulnerabilities across major quantum computing platforms from existing literature.
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Review of Superconducting Qubit Devices and Their Large-Scale Integration
A review summarizing superconducting qubit types, DiVincenzo criteria implementations, coherence limits from defects, and large-scale integration strategies for quantum computing.
- Detection Defines Dephasing in Two-Dimensional Electronic Spectroscopy of Materials: Coherent Field Emission versus Incoherent Population Observables
- MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation