Reset-induced entanglement phase transitions in measurement-free random quantum circuits are continuous for d=2 with second-order characteristics, unlike large-d classical expectations.
P., Jastrzebski, M., Campbell, E
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Hardware experiment on IBM devices shows reset-free LUCI achieves logical X and Z error suppression ratios of 1.75(10) and 1.93(12), competitive with surface code despite halved syndrome density.
Estimating DEM probabilities from experimental syndromes improves logical error rates by 5-10% in surface-code memory experiments on Google Willow and IBM ibm_miami without additional circuits or supervised fitting.
A new measurement schedule turns the heavy-hex subsystem code into the dynamic compass code, which demonstrates a threshold for stability and supports fault-tolerant lattice surgery.
Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.
citing papers explorer
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Continuous Reset-Induced Phase Transition in Measurement-Free Random Quantum Circuits
Reset-induced entanglement phase transitions in measurement-free random quantum circuits are continuous for d=2 with second-order characteristics, unlike large-d classical expectations.
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LUCI on IBM Hardware: Error Suppression with Almost Half Syndrome Density
Hardware experiment on IBM devices shows reset-free LUCI achieves logical X and Z error suppression ratios of 1.75(10) and 1.93(12), competitive with surface code despite halved syndrome density.
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Logical error estimation from syndrome data of surface-code experiments
Estimating DEM probabilities from experimental syndromes improves logical error rates by 5-10% in surface-code memory experiments on Google Willow and IBM ibm_miami without additional circuits or supervised fitting.
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Low-valency scalable quantum error correction with a dynamic compass code
A new measurement schedule turns the heavy-hex subsystem code into the dynamic compass code, which demonstrates a threshold for stability and supports fault-tolerant lattice surgery.
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Soft information decoding with superconducting qubits
Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.