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Open Quantum Assembly Language
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This document describes a quantum assembly language (QASM) called OpenQASM that is used to implement experiments with low depth quantum circuits. OpenQASM represents universal physical circuits over the CNOT plus SU(2) basis with straight-line code that includes measurement, reset, fast feedback, and gate subroutines. The simple text language can be written by hand or by higher level tools and may be executed on the IBM Q Experience.
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Cited by 30 Pith papers
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Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems
Coherent-state propagation enables quasi-polynomial classical simulation of bosonic circuits with logarithmically many Kerr gates at exponentially small trace-distance error, with polynomial runtime in the weak-nonlin...
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Linear-Time T-Gate Optimization via Random Abstraction
A randomized linear-time phase-folding algorithm using constant-width bitstring abstraction optimizes T-count in quantum circuits orders of magnitude faster than prior tools while achieving comparable reductions.
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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.
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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...
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Quantum Error-Corrected Computation of Molecular Energies
First end-to-end demonstration of quantum error correction integrated with quantum phase estimation to compute molecular hydrogen ground-state energy to 0.001(13) hartree accuracy on Quantinuum H2-2 hardware.
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Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm
Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
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Verifying Adversarial Robustness in Quantum Machine Learning: from theory to physical validation via a software tool
Introduces a fidelity-based robustness lower bound for QML models, computable from measurements or via SDP, packaged in the VeriQR tool with the first 20-qubit hardware benchmark.
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Quantum circuit design via dynamic Pauli constraints
Introduces Motte model proving equivalence between Pauli-constraint quantum circuits with tomography and coupling-graph-restricted circuits, yielding BQP universality with O(D² N log N) overhead and robustness to tomo...
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Quantum circuit design via dynamic Pauli constraints
Defines a Pauli-constraint model of quantum circuits proven equivalent to coupling-graph-restricted circuits, universal for BQP with O(D² N log N) overhead.
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QuCtrl-BELL: A Compiler-Driven Sub-Microsecond Feedback Control Stack for Scalable Trapped-Ion Quantum Experiments
QuCtrl-BELL is a compiler pipeline for trapped-ion quantum control that decouples control flow from hardware data to achieve sub-700 ns cross-board feedback latency on RISC-V + PXIe hardware.
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Robust Mutation Analysis of Quantum Programs Under Noise
Noise from quantum hardware simulators significantly alters mutant detection distances, making equivalent mutants harder to separate from faults, with output-distribution metrics reaching 73.03% accuracy and 74.89% F1...
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Probabilistic Condition, Decision and Path Coverage of Circuit-based Quantum Programs
Quantum circuits show high average condition (97.56%) and decision (97.63%) coverage but lower path coverage (71.84%), with probabilistic versions adding confidence levels (averages 88.87%, 88.65%, 37.18%); mutation t...
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A unified framework for efficient quantum simulation of nonlinear spectroscopy
A unified quantum framework computes n-th order nonlinear spectroscopies on near-term devices by reformulating multi-time responses as weighted sums of finite-amplitude expectation values via a generalized parameter s...
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dqc_simulator: an easy-to-use distributed quantum computing simulator
dqc_simulator is a new Python toolkit for automating realistic simulations of both hardware and software in distributed quantum computing systems.
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Noise Correlations as a Resource in Pauli-Twirled Circuits
Noise correlations increase the fidelity of randomly compiled Clifford circuits under a broad class of Gaussian noise.
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Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning
Training in graph-regularized quantum networks increases spectral dimension by 0.23 and enables anomaly detection via Bloch drift (ROC-AUC ≥0.9) while bosonic enhancement correlates with Fiedler splits (r=-0.50).
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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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Tuning Quantum MPS
Two-stage CMA-ES optimization plus circuit-feature ranking model for MPS hyperparameter tuning, recovering part of the offline optimum gain on circuit families.
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Performance Gains in Quantum SAT Solvers Using ESOP Encoding
ESOP-based e-CNF encoding for quantum SAT oracles yields lower qubit counts, T-gate complexity, and circuit depth than standard CNF.
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QMutBench: A Dataset of Quantum Circuit Mutants
QMutBench is a publicly available dataset of over 700,000 quantum circuit mutants generated to serve as benchmarks for assessing quantum software testing techniques.
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A Model Context Protocol Server for Quantum Execution in Hybrid Quantum-HPC Environments
An MCP server framework lets LLM agents run quantum primitives like sampling and expectation value computation on hybrid platforms by interpreting prompts and invoking tools for OpenQASM and CUDA-Q.
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GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision
A new GPU quantum simulator framework achieves 64x-146x speedups for 20-28 qubit circuits via backend selection, gate fusion, and adaptive precision while integrating with Qiskit and others.
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Context-Aware Unit Testing for Quantum Subroutines
Proposes a context-aware unit testing framework for quantum subroutines modeled as parametrized quantum channels, using probabilistic assertions and demonstrated on GHZ preparation and Shor's algorithm subroutines.
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Managing Classical Processing Requirements for Quantum Error Correction
A two-level decoder scheduling framework reduces classical processing requirements for quantum error correction by 10-40% on fault-tolerant benchmarks by managing bursty workloads as shared resources.
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Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning
Training reorganizes output similarity graphs in quantum networks, increasing spectral dimension by 0.23, with bosonic interference correlations and Bloch drift enabling high-ROC-AUC anomaly detection via a proposed s...
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A detailed algorithmic study on a reuse-aware, near memory, all-digital Ising machine
SACHI reuses CPU L1 cache for all-digital Ising acceleration and reports 300x performance and 80x energy gains over BRIM on asset allocation, molecular dynamics, image segmentation, and TSP.
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Efficient Transpilation of OpenQASM 3.0 Dynamic Circuits to CUDA-Q: Performance and Expressiveness Advantages
A transpilation framework maps OpenQASM 3.0 dynamic circuits with conditionals and loops to CUDA-Q kernels, reducing depth and improving execution efficiency via direct control-flow translation.
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SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations
SparQSim is a sparse-state quantum simulator in C++ supporting QRAM that outperforms dense Schrödinger simulators on high-sparsity benchmark circuits and produces consistent results for quantum linear system solvers.
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How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
A comprehensive review of scaling paths for superconducting quantum computers, with resource and sensitivity analyses for utility-scale applications under realistic error distributions.
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Large-Scale Quantum Circuit Simulation on HPC Cluster via Cache Blocking, Boosting, and Gate Fusion Optimization
New merge booster and diagonal detector components, combined with cache blocking and gate fusion, deliver up to 160x speedup on circuit benchmarks and 34x on diagonal-heavy gates versus prior simulators.
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