Equivariant RL agent synthesizes near-optimal Clifford circuits up to 30 qubits with lower two-qubit gate counts than Qiskit baselines.
Fast stabilizer state preparation via ai-optimized graph decimation
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A new quantum circuit method computes spectral functions A(k,ω) by simulating ARPES-like system-environment coupling, cutting sampling overhead by O(N) and demonstrated on a 54-qubit ion-trap processor for a 27-site chain.
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.
citing papers explorer
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Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
Equivariant RL agent synthesizes near-optimal Clifford circuits up to 30 qubits with lower two-qubit gate counts than Qiskit baselines.
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Spectral functions on a quantum computer through system-environment interaction
A new quantum circuit method computes spectral functions A(k,ω) by simulating ARPES-like system-environment coupling, cutting sampling overhead by O(N) and demonstrated on a 54-qubit ion-trap processor for a 27-site chain.
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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.