A hardware-efficient binary-tree ansatz has a closed-form diagonal Fubini–Study metric, enabling metric-aware VQE and time evolution without auxiliary circuits, with linear-in-k pruning for sparse sectors.
McArdle , author S
16 Pith papers cite this work, alongside 1,336 external citations. Polarity classification is still indexing.
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Pith papers citing it
1,336
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representative citing papers
A rubric-guided GRPO pipeline fine-tunes a 7B LLM to synthesize quantum circuits achieving 3.31x T-gate compression with <1% hardware-constraint violations, validated on IBM and IonQ processors.
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
An auxiliary-fermion encoding removes Jordan-Wigner strings for sparse non-local fermion models, achieving asymptotically optimal Trotter circuit depth on qubits after one-time state preparation.
Quantum circuits for single and double fermionic excitations on ion traps reduce MS gate counts by factors of 2 and 4 respectively by using global interactions for optimal parallelism.
Hybrid simulation of the 2-qubit quantum kicked top on IBMQ shows periodic evolution and chaos signatures in time-averaged entanglement, with gate count independent of kick number.
Lindblad dynamics admits a universal closed algebra of Hermitian operators with model dependence isolated in a single set of coefficients.
Chemical properties and symmetries, not variational energy, should guide UHF trial selection for ph-AFQMC on iron-sulfur clusters, yielding accurate energies despite suboptimal sampling and bias compensation.
Analysis of Stack Overflow posts identifies hybrid quantum-classical computing and quantum circuit implementation as the top discussion topics, with Qiskit and Grover's algorithm most referenced, and varying difficulty levels across topics.
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.
Ground-state energies of homogeneous and random-coupling Ising models are obtained via CVQE with GSA on quantum hardware up to 63 qubits, with error-boundary, entropic, and subspace analyses indicating suitability for near-term devices.
Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.
Authors propose implementing the non-unitary Jastrow-Gutzwiller operator via cascaded VQE on quantum hardware and demonstrate it for the Hubbard model on IBM Q Lagos.
XGBoost models trained on ≤16-qubit data predict eigensolver hyperparameters and reduce error by 0.12% on 28-qubit systems.
citing papers explorer
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A hardware-efficient variational ansatz with an exact diagonal metric for real- and imaginary-time evolution and Haar sampling
A hardware-efficient binary-tree ansatz has a closed-form diagonal Fubini–Study metric, enabling metric-aware VQE and time evolution without auxiliary circuits, with linear-in-k pruning for sparse sectors.
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RubriQ: Rubric-Guided Group Relative Policy Optimization for Constraint-Aware Quantum Circuit Synthesis
A rubric-guided GRPO pipeline fine-tunes a 7B LLM to synthesize quantum circuits achieving 3.31x T-gate compression with <1% hardware-constraint violations, validated on IBM and IonQ processors.
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Pulse-optimised circuit elements for scalable and noise-resilient quantum chemistry
Pulse-optimized implementations of single- and double-qubit excitations in VQE reduce runtimes by up to 15.3 times on silicon spin-qubit processors.
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Mid-Circuit Measurements for Clifford Noise Reduction in Hamiltonian Simulations
Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
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Advancing Practical Quantum Embedding Simulations via Operator Commutativity Based State Preparation for Complex Chemical Systems
A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
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Efficient Simulation of Sparse, Non-Local Fermion Models
An auxiliary-fermion encoding removes Jordan-Wigner strings for sparse non-local fermion models, achieving asymptotically optimal Trotter circuit depth on qubits after one-time state preparation.
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Improved Strategies for Fermionic Quantum Simulation with Global Interactions
Quantum circuits for single and double fermionic excitations on ion traps reduce MS gate counts by factors of 2 and 4 respectively by using global interactions for optimal parallelism.
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Simulating quantum chaos on a quantum computer
Hybrid simulation of the 2-qubit quantum kicked top on IBMQ shows periodic evolution and chaos signatures in time-averaged entanglement, with gate count independent of kick number.
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Algebraic structures of the Lindblad equation
Lindblad dynamics admits a universal closed algebra of Hermitian operators with model dependence isolated in a single set of coefficients.
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Selecting optimal unrestricted Hartree-Fock trial wavefunctions for phaseless auxiliary-field quantum Monte Carlo: Accuracy and limitations in modeling three iron-sulfur clusters
Chemical properties and symmetries, not variational energy, should guide UHF trial selection for ph-AFQMC on iron-sulfur clusters, yielding accurate energies despite suboptimal sampling and bias compensation.
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Empirical Investigation of Quantum Computing Toolchains and Algorithms : Mining Stack Overflow Repository
Analysis of Stack Overflow posts identifies hybrid quantum-classical computing and quantum circuit implementation as the top discussion topics, with Qiskit and Grover's algorithm most referenced, and varying difficulty levels across topics.
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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.
-
Ground-state energies of Ising models calculated using the samples from a quantum computer that simulates short-time evolution
Ground-state energies of homogeneous and random-coupling Ising models are obtained via CVQE with GSA on quantum hardware up to 63 qubits, with error-boundary, entropic, and subspace analyses indicating suitability for near-term devices.
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Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.
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Implementing Jastrow--Gutzwiller operators on a quantum computer using the cascaded variational quantum eigensolver algorithm
Authors propose implementing the non-unitary Jastrow-Gutzwiller operator via cascaded VQE on quantum hardware and demonstrate it for the Hubbard model on IBM Q Lagos.
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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.