aiqbench analysis
This research presents a method for executing complex quantum sampling tasks while simultaneously suppressing hardware errors and verifying computational fidelity. By encoding circuits in spacetime codes, the study achieves high-fidelity results on deep Clifford circuits with provable hardness guarantees that are difficult to verify using current benchmarks. This approach offers a critical pathway toward demonstrating practical quantum advantage without relying on overly stringent noise assumptions.
Sampling hard circuits with verifiably high fidelity
arXiv:2607.25941v1 Announce Type: new Abstract: Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine their complexity-theoretic hardness with two capabilities needed for scalable quantum computing more generally: suppressing hardware errors, and verifying the quantum computation itself. Here we address both issues by introducing structured circuits, which, in addition to provable hardness guarantees, admit an encoding in a quantum code. This allows us to simultaneously reach high fidelities at high circuit depths, and to certify an experimental fidelity via the circuit structure and measurement of code syndromes. The resulting certificate is device dependent, but requires substantially weaker noise assumptions than existing fidelity proxy benchmarks. We demonstrate our proposal with a $70$-qubit, depth-$70$ Clifford circuit doped with $468$ $T$ gates. We use a total of $97$ physical qubits to encode this computation in spacetime codes, effectively suppressing gate error rates by $10\times$ after syndrome post-selection, and yielding a state with a fidelity lower bound of $0.284$ with $95\%$ confidence. Our construction is a systematic method for promoting a stabilizer state to a magic state while keeping an error-detected fidelity certificate.
Abstract:Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine their complexity-theoretic hardness with two capabilities needed for scalable quantum computing more generally: suppressing hardware errors, and verifying the quantum computation itself. Here we address both issues by introducing structured circuits, which, in addition to provable hardness guarantees, admit an encoding in a quantum code. This allows us to simultaneously reach high fidelities at high circuit depths, and to certify an experimental fidelity via the circuit structure and measurement of code syndromes. The resulting certificate is device dependent, but requires substantially weaker noise assumptions than existing fidelity proxy benchmarks. We demonstrate our proposal with a $70$-qubit, depth-$70$ Clifford circuit doped with $468$ $T$ gates. We use a total of $97$ physical qubits to encode this computation in spacetime codes, effectively suppressing gate error rates by $10\times$ after syndrome post-selection, and yielding a state with a fidelity lower bound of $0.284$ with $95\%$ confidence. Our construction is a systematic method for promoting a stabilizer state to a magic state while keeping an error-detected fidelity certificate.
arXiv:2607.25941 [quant-ph]
(or arXiv:2607.25941v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.25941 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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