Reproducible Builds for Quantum Computing
- URL: http://arxiv.org/abs/2510.02251v1
- Date: Thu, 02 Oct 2025 17:38:40 GMT
- Title: Reproducible Builds for Quantum Computing
- Authors: Iyán Méndez Veiga, Esther Hänggi,
- Abstract summary: This paper aims to bridge the gap between the quantum computing and reproducible builds communities.<n>We propose a generalization of the definition of reproducible builds in the quantum setting.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Reproducible builds are a set of software development practices that establish an independently verifiable path from source code to binary artifacts, helping to detect and mitigate certain classes of supply chain attacks. Although quantum computing is a rapidly evolving field of research, it can already benefit from adopting reproducible builds. This paper aims to bridge the gap between the quantum computing and reproducible builds communities. We propose a generalization of the definition of reproducible builds in the quantum setting, motivated by two threat models: one targeting the confidentiality of end users' data during circuit preparation and submission to a quantum computer, and another compromising the integrity of quantum computation results. This work presents three examples that show how classical information can be hidden in transpiled quantum circuits, and two cases illustrating how even minimal modifications to these circuits can lead to incorrect quantum computation results. Our work provides initial steps towards a framework for reproducibility in quantum software toolchains.
Related papers
- Quantum Design Automation: Foundations, Challenges, and the Road Ahead [39.223805375181776]
We advocate for a holistic design perspective in quantum computing.<n>We detail how interconnected computational methods and tools collaborate to enable end-to-end quantum computer design.
arXiv Detail & Related papers (2025-11-13T16:44:36Z) - QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design [63.02824918725805]
Quantum computing is recognized for the significant speedup it offers over classical computing through quantum algorithms.<n>QCircuitBench is the first benchmark dataset designed to evaluate AI's capability in designing and implementing quantum algorithms.
arXiv Detail & Related papers (2024-10-10T14:24:30Z) - The curse of random quantum data [62.24825255497622]
We quantify the performances of quantum machine learning in the landscape of quantum data.
We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits.
Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
arXiv Detail & Related papers (2024-08-19T12:18:07Z) - Optimizing quantum circuits with evolutionary algorithms for stable Boolean gates, elementary cellular automata, and highly entangled quantum states [0.5219568203653523]
We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals.<n>We test the robustness of quantum implementations of the cellular automata for different numbers of quantum gates.<n>An evolutionary algorithm is employed to optimize circuits with respect to a fitness function defined with the Mayer-Wallach entanglement measure.
arXiv Detail & Related papers (2024-08-01T10:36:38Z) - QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum
Circuits [82.50620782471485]
QuantumSEA is an in-time sparse exploration for noise-adaptive quantum circuits.
It aims to achieve two key objectives: (1) implicit circuits capacity during training and (2) noise robustness.
Our method establishes state-of-the-art results with only half the number of quantum gates and 2x time saving of circuit executions.
arXiv Detail & Related papers (2024-01-10T22:33:00Z) - Demonstration of a Hardware-Independent Toolkit for Automated Quantum
Subcircuit Synthesis [2.828466685313335]
This article describes an automated quantum-software toolkit for synthesis, compilation, and optimization.
It transforms classically-specified, irreversible functions into both technology-independent and technology-dependent quantum circuits.
We describe and analyze the toolkit's application to three situations -- quantum read-only memories, quantum random number generators, and quantum oracles.
arXiv Detail & Related papers (2023-09-02T21:46:38Z) - The QUATRO Application Suite: Quantum Computing for Models of Human
Cognition [49.038807589598285]
We unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling.
We release QUATRO, a collection of quantum computing applications from cognitive models.
arXiv Detail & Related papers (2023-09-01T17:34:53Z) - Quantivine: A Visualization Approach for Large-scale Quantum Circuit
Representation and Analysis [31.203764035373677]
We develop Quantivine, an interactive system for exploring and understanding quantum circuits.
A series of novel circuit visualizations are designed to uncover contextual details such as qubit provenance, parallelism, and entanglement.
The effectiveness of Quantivine is demonstrated through two usage scenarios of quantum circuits with up to 100 qubits.
arXiv Detail & Related papers (2023-07-18T04:51:28Z) - Parametric Synthesis of Computational Circuits for Complex Quantum
Algorithms [0.0]
The purpose of our quantum synthesizer is enabling users to implement quantum algorithms using higher-level commands.
The proposed approach for implementing quantum algorithms has a potential application in the field of machine learning.
arXiv Detail & Related papers (2022-09-20T06:25:47Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - Long-Time Error-Mitigating Simulation of Open Quantum Systems on Near Term Quantum Computers [38.860468003121404]
We study an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates.
We simulate two systems of electrons coupled to an infinite thermal bath: 1) a system of dissipative free electrons in a driving electric field; and 2) the thermalization of two interacting electrons in a single orbital in a magnetic field -- the Hubbard atom.
Our results demonstrate that algorithms for simulating open quantum systems are able to far outperform similarly complex non-dissipative algorithms on noisy hardware.
arXiv Detail & Related papers (2021-08-02T21:36:37Z) - Depth-efficient proofs of quantumness [77.34726150561087]
A proof of quantumness is a type of challenge-response protocol in which a classical verifier can efficiently certify quantum advantage of an untrusted prover.
In this paper, we give two proof of quantumness constructions in which the prover need only perform constant-depth quantum circuits.
arXiv Detail & Related papers (2021-07-05T17:45:41Z) - Verifying Results of the IBM Qiskit Quantum Circuit Compilation Flow [7.619626059034881]
We propose an efficient scheme for quantum circuit equivalence checking.
The proposed scheme allows to verify even large circuit instances with tens of thousands of operations within seconds or even less.
arXiv Detail & Related papers (2020-09-04T19:58:53Z) - QUANTIFY: A framework for resource analysis and design verification of
quantum circuits [69.43216268165402]
QUANTIFY is an open-source framework for the quantitative analysis of quantum circuits.
It is based on Google Cirq and is developed with Clifford+T circuits in mind.
For benchmarking purposes QUANTIFY includes quantum memory and quantum arithmetic circuits.
arXiv Detail & Related papers (2020-07-21T15:36:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.