clifford qc: A Python Toolkit for Quantum Simulation

arXiv:2609.23059 · quant-ph · Submitted 2026-09-19 · Read on arXiv

quant-ph

Submitted: 2026-09-19

Updated: 2026-09-19

Code: https://github.com/gutama/clifford_qc

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 17× in this paper · explained in 2 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Provenance — 5× in this paper · explained in 4 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Admissibility — 2× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Selection — 1× in this paper · explained in 1 episode
• Allocator — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Deferral — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Sample-based quantum diagonalization (SQD) — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Operator-centric Clifford algebra for variational eigensolvers and finite-shot adaptive selection
• Quantum computing with Qiskit
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Tapering off qubits to simulate fermionic Hamiltonians

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