Achieves optimal quantum capacity for photonic channels using polar codes with quantum message-passing decoding—first efficient, provably-correct protocol for entanglement generation over pure-loss Bosonic channels with polynomial complexity.

Achieves optimal quantum capacity for photonic channels using polar codes with quantum message-passing decoding—first efficient, provably-correct protocol for entanglement generation over pure-loss Bosonic channels with polynomial complexity.
Researchers construct random quantum LDPC codes approaching the Gilbert-Varshamov bound with constant-weight checks, matching random stabilizer code performance on quantum erasure and Pauli channels.
Researchers combine probabilistic error cancellation with Gottesman-Kitaev-Preskill codes, achieving ~7x reduction in sampling overhead through teleportation-based syndrome extraction, advancing practical quantum error mitigation.
We construct explicit families of asymptotically good quantum LDPC codes with constant rate, relative distance, and soundness. The codes admit constant-weight local tests, resolving a major open problem in quantum error correction.