Pith. sign in

REVIEW 3 cited by

QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2103.07093 v1 pith:VUTGNYKR submitted 2021-03-12 quant-ph

QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis

classification quant-ph
keywords qfastcircuitscircuittechniquesalgorithmcompareddepthnumerical
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

We present a quantum synthesis algorithm designed to produce short circuits and to scale well in practice. The main contribution is a novel representation of circuits able to encode placement and topology using generic "gates", which allows the QFAST algorithm to replace expensive searches over circuit structures with few steps of numerical optimization. When compared against optimal depth, search based state-of-the-art techniques, QFAST produces comparable results: 1.19x longer circuits up to four qubits, with an increase in compilation speed of 3.6x. In addition, QFAST scales up to seven qubits. When compared with the state-of-the-art "rule" based decomposition techniques in Qiskit, QFAST produces circuits shorter by up to two orders of magnitude (331x), albeit 5.6x slower. We also demonstrate the composability with other techniques and the tunability of our formulation in terms of circuit depth and running time.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Iceberg Beyond the Tip: Co-Compilation of a Quantum Error Detection Code and a Quantum Algorithm

    quant-ph 2025-04 unverdicted novelty 7.0

    Co-optimization of flexible Iceberg error-detection gadgets with QAOA via tree search improves success probability and post-selection on Quantinuum H2-1 hardware up to 34 algorithmic qubits.

  2. Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm

    quant-ph 2026-06 unverdicted novelty 6.0

    Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.

  3. Co-Design quantum simulation of nanoscale NMR

    quant-ph 2022-02 unverdicted novelty 5.0

    Proposes a transmon-based co-designed quantum processor using a central resonator and QCR to enable NISQ simulation of nanoscale NMR with major SWAP reduction and non-unitary hyperpolarization operations.