Cover Image

QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kukliansky, Alon, Younis, Ed, Cincio, Lukasz, Iancu, Costin
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Quantum Machine Learning Generalization to Significantly Speed-up Quantum Compilation
by: Kukliansky, Alon, et al.
Published: (2024)

Quantum Circuit Tensors and Enumerators with Applications to Quantum Fault Tolerance
by: Kukliansky, Alon, et al.
Published: (2024)

Application Scale Quantum Circuit Compilation with Controlled Error
by: Kalloor, Justin, et al.
Published: (2025)

Deep Circuit Compression for Quantum Dynamics via Tensor Networks
by: Gibbs, Joe, et al.
Published: (2024)

High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization
by: Weiden, Mathias, et al.
Published: (2024)

Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design
by: Kalloor, Justin, et al.
Published: (2024)

Learning Circuits with Infinite Tensor Networks
by: Gibbs, Joe, et al.
Published: (2025)

AC/DC: Automated Compilation for Dynamic Circuits
by: Niu, Siyuan, et al.
Published: (2024)

Making Neural Networks More Suitable for Approximate Clifford+T Circuit Synthesis
by: Weiden, Mathias, et al.
Published: (2025)

Characterizing and Benchmarking Dynamic Quantum Circuits
by: Shirgure, Sumeet, et al.
Published: (2026)

Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
by: Bosco, Daniele Lizzio, et al.
Published: (2026)

Efficient Online Quantum Circuit Learning with No Upfront Training
by: O'Leary, Tom, et al.
Published: (2025)

OpenQudit: Extensible and Accelerated Numerical Quantum Compilation via a JIT-Compiled DSL
by: Younis, Ed
Published: (2025)

Quantum Simulation of Molecular Dynamics Processes -- A Benchmark Study Using Classical Simulator and Present-Day Quantum Hardware
by: Kuanysheva, Tamila, et al.
Published: (2025)

Unitary Expressions: A Necessary Abstraction for Extensible Quantum Programming Languages and Systems
by: Younis, Ed
Published: (2025)

PureMagic: A Dynamic Scheduler for Lattice Surgery
by: Hofmeyr, Steven, et al.
Published: (2025)

Quantum computer-enabled receivers for optical communication
by: Crossman, John, et al.
Published: (2023)

QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation
by: Zhou, Junyu, et al.
Published: (2025)

Intermediate-temperature topological Uhlmann phase on IBM quantum computers
by: Mastandrea, Christopher, et al.
Published: (2025)

Diabatic Quantum Annealing for the Frustrated Ring Model
by: Côté, Jeremy, et al.
Published: (2022)

Computing exact moments of local random quantum circuits via tensor networks
by: Braccia, Paolo, et al.
Published: (2024)

Practical Black Box Hamiltonian Learning
by: Gu, Andi, et al.
Published: (2022)

Improving the efficiency of learning-based error mitigation
by: Czarnik, Piotr, et al.
Published: (2022)

HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping
by: Liu, Yuhao, et al.
Published: (2024)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
by: Bermejo, Pablo, et al.
Published: (2024)

On the practical usefulness of the Hardware Efficient Ansatz
by: Leone, Lorenzo, et al.
Published: (2022)

Low $T$-count preparation of nuclear eigenstates with tensor networks
by: Gibbs, Joe, et al.
Published: (2026)

Engineering multi-mode bosonic squeezed states using Monte-Carlo optimization
by: Shao, Jieqiu, et al.
Published: (2025)

AlphaSyndrome: Tackling the Syndrome Measurement Circuit Scheduling Problem for QEC Codes
by: Liu, Yuhao, et al.
Published: (2026)

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
by: Wang, Samson, et al.
Published: (2021)

Robust design under uncertainty in quantum error mitigation
by: Prodius, Maksym, et al.
Published: (2023)

Lie-algebraic classical simulations for quantum computing
by: Goh, Matthew L., et al.
Published: (2023)

TopoLS: Lattice Surgery Compilation via Topological Program Transformations
by: Zhou, Junyu, et al.
Published: (2026)

A semi-agnostic ansatz with variable structure for quantum machine learning
by: Bilkis, M., et al.
Published: (2021)

Noise-Induced Barren Plateaus in Variational Quantum Algorithms
by: Wang, Samson, et al.
Published: (2020)

Resilience-Runtime Tradeoff Relations for Quantum Algorithms
by: García-Pintos, Luis Pedro, et al.
Published: (2024)

More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing
by: Ijaz, Aroosa, et al.
Published: (2024)

Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction
by: Bach, Bao, et al.
Published: (2025)

Domain-Aware Quantum Circuit for QML
by: Singh, Gurinder, et al.
Published: (2025)

Circuit Partitioning and Transmission Cost Optimization in Distributed Quantum Circuits
by: Chen, Xinyu, et al.
Published: (2024)