Residue Number System (RNS) based Distributed Quantum Multiplication
- URL: http://arxiv.org/abs/2506.17588v1
- Date: Sat, 21 Jun 2025 05:00:03 GMT
- Title: Residue Number System (RNS) based Distributed Quantum Multiplication
- Authors: Bhaskar Gaur, Himanshu Thapliyal,
- Abstract summary: We propose utilizing the Residue Number System (RNS) based distributed quantum multiplication.<n>We provide estimates of quantum resource usage and compare them with those of an existing non-distributed quantum multiplier for 6 to 16 qubit sized output.<n>Our comparative analysis estimates up to 46.018% lower Toffoli depth, and reduction in T gates of 34.483% to 86.25%.
- Score: 0.4604003661048266
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Multiplication of quantum states is a frequently used function or subroutine in quantum algorithms and applications, making quantum multipliers an essential component of quantum arithmetic. However, quantum multiplier circuits suffer from high Toffoli depth and T gate usage, which ultimately affects their scalability and applicability on quantum computers. To address these issues, we propose utilizing the Residue Number System (RNS) based distributed quantum multiplication, which executes multiple quantum modulo multiplication circuits across quantum computers or jobs with lower Toffoli depth and T gate usage. Towards this end, we propose a design of Quantum Diminished-1 Modulo $(2^n+1)$ Multiplier, an essential component of RNS based distributed quantum multiplication. We provide estimates of quantum resource usage and compare them with those of an existing non-distributed quantum multiplier for 6 to 16 qubit sized output. Our comparative analysis estimates up to 46.018% lower Toffoli depth, and reduction in T gates of 34.483% to 86.25%.
Related papers
- Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor [56.089799129458875]
We present the results of benchmarking a quantum processor based on trapped $171$Yb$+$ ions.<n>We perform a supervised binary classification on two types of datasets: small binary digit images and weighted graphs with a ring topology.
arXiv Detail & Related papers (2024-06-17T18:20:51Z) - Residue Number System (RNS) based Distributed Quantum Addition [0.5188841610098435]
We propose substituting a higher depth quantum addition circuit with Residue Number System (RNS) based quantum modulo6% adders.
The RNS-based distributed quantum addition circuits possess lower depth and are distributed across multiple quantum computers/jobs.
We show that RNS-based distributed quantum addition has 11.3 to 133.15% higher output probability over 6-bit to 10-bit non-distributed quantum full adders.
arXiv Detail & Related papers (2024-06-07T23:39:14Z) - A Quantum-Classical Collaborative Training Architecture Based on Quantum
State Fidelity [50.387179833629254]
We introduce a collaborative classical-quantum architecture called co-TenQu.
Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting.
It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
arXiv Detail & Related papers (2024-02-23T14:09:41Z) - Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction [39.58317527488534]
Energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries.
One of the main issues to fully extract energy from the quantum source is the assumption that any unitary operation can be done on the system.
We propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm.
arXiv Detail & Related papers (2023-10-11T15:59:54Z) - A vertical gate-defined double quantum dot in a strained germanium
double quantum well [48.7576911714538]
Gate-defined quantum dots in silicon-germanium heterostructures have become a compelling platform for quantum computation and simulation.
We demonstrate the operation of a gate-defined vertical double quantum dot in a strained germanium double quantum well.
We discuss challenges and opportunities and outline potential applications in quantum computing and quantum simulation.
arXiv Detail & Related papers (2023-05-23T13:42:36Z) - Oblivious Quantum Computation and Delegated Multiparty Quantum
Computation [61.12008553173672]
We propose a new concept, oblivious computation quantum computation, where secrecy of the input qubits and the program to identify the quantum gates are required.
Exploiting quantum teleportation, we propose a two-server protocol for this task.
Also, we discuss delegated multiparty quantum computation, in which, several users ask multiparty quantum computation to server(s) only using classical communications.
arXiv Detail & Related papers (2022-11-02T09:01:33Z) - 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) - Experimental Realization of Two Qutrits Gate with Tunable Coupling in
Superconducting Circuits [11.881366909450376]
Gate-based quantum computation has been extensively investigated using quantum circuits based on qubits.
One of the essential elements for qutrit-based quantum computation, two-qutrit quantum gate, remains a major challenge.
We propose and demonstrate a highly efficient and scalable two-qutrit quantum gate in superconducting quantum circuits.
arXiv Detail & Related papers (2022-06-22T16:33:58Z) - Separation of gates in quantum parallel programming [1.4821822452801385]
Ying conceived of using two or more small-capacity quantum computers to produce a larger-capacity quantum computing system by quantum parallel programming.
Main obstacle is separating the quantum gates in the whole circuit to produce a tensor product of the local gates.
We theoretically analyse the (sufficient and necessary) separability conditions of multipartite quantum gates in finite or infinite dimensional systems.
arXiv Detail & Related papers (2021-10-28T09:11:41Z) - Quantum design for advanced qubits: plasmonium [4.51227657808872]
We demonstrate variational quantum eigensolvers to simulate superconducting quantum circuits with varying parameters covering a plasmon-transition regime.
We fabricate an advanced post-transmon qubit, "plasmonium", which exhibits high single- and two-qubit gate fidelities.
Our work opens the way to designing advanced quantum processors using existing quantum computing resources.
arXiv Detail & Related papers (2021-09-02T14:48:39Z) - Quantum circuit to estimate pi using quantum amplitude estimation [0.0]
The proposed quantum circuit to estimate pi is based on the Monte Carlo method, quantum amplitude estimation, and quantum squarer.
By applying the quantum squarer using QFT, the circuit was implemented in $ 4n + 1 $ qubits at $ 22n $ sampling.
arXiv Detail & Related papers (2020-08-04T05:04:57Z) - 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.