Quantum

Hamiltonian-Dependent Compressibility and Physical Preservation in Approximate Quantum Compilation using Tensor Networks

Read full article at source ↗

Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 14/10/2026, 12:17:25 UTC.

Briefings

A study using AQCtensor on an 80-qubit 1D XYZ Heisenberg chain found that compressing quantum circuits reduces circuit depth by 45.9% and two-qubit gate count by 47.6% while maintaining 99.5% fidelity. The compression performance depends on Hamiltonian commutator structure and target-state complexity, linking AQC tensor efficiency to physical preservation of quantum information.

Key points

• AQCtensor compresses a 10-repetition target evolution to 5 repetitions for an 80-qubit system.
• Compressed circuits retain 99.5474% fidelity while reducing circuit depth by 45.9% and gate count by 47.6%.

Context

This research investigates factors governing compressibility in approximate quantum compilation using tensor networks, specifically testing AQCtensor on an 80-qubit 1D XYZ Heisenberg chain initialized in a N'eel state. The findings link compression efficiency to Hamiltonian commutator structure and target-state complexity, demonstrating substantial circuit reduction while preserving physically relevant features in a quantum-hardware experiment.

Limitations

Results are based on a single 80-qubit 1D XYZ Heisenberg chain evaluation with varying anisotropic coupling and field orientations. The study uses preprint arXiv:2610.14125v1 and does not include additional background context or further validation beyond the initial experiment.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 25/10/2026, 19:10:01 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

View archived briefing on IPFS
bafybeictfxlnjzclqvvahiobjub2rpwssr6nen4rt53dgz43cijvvxk7gu