Cutting a Wire with Non-Maximally Entangled States
- URL: http://arxiv.org/abs/2403.09690v2
- Date: Wed, 20 Mar 2024 08:37:15 GMT
- Title: Cutting a Wire with Non-Maximally Entangled States
- Authors: Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl,
- Abstract summary: Circuit cutting techniques enable the distribution of quantum computations via classical communication.
Quantum teleportation allows the distribution of quantum computations without an exponential increase in circuit executions.
We present a wire cutting technique employing pure non-maximally entangled states that achieves this optimal sampling overhead.
- Score: 39.79428554301806
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Distributed quantum computing supports combining the computational power of multiple quantum devices to overcome the limitations of individual devices. Circuit cutting techniques enable the distribution of quantum computations via classical communication. These techniques involve partitioning a quantum circuit into smaller subcircuits, each containing fewer qubits. The original circuit's outcome can be replicated by executing these subcircuits on separate devices and combining their results. However, the number of circuit executions required to achieve a fixed result accuracy with circuit cutting grows exponentially with the number of cuts, posing significant costs. In contrast, quantum teleportation allows the distribution of quantum computations without an exponential increase in circuit executions. Nevertheless, each teleportation requires a pre-shared pair of maximally entangled qubits for transmitting a quantum state, and non-maximally entangled qubits cannot be used for this purpose. Addressing this, our work explores utilizing non-maximally entangled qubit pairs in wire cutting, a specific form of circuit cutting, to mitigate the associated costs. The cost of this cutting procedure reduces with the increasing degree of entanglement in the pre-shared qubit pairs. We derive the optimal sampling overhead in this context and present a wire cutting technique employing pure non-maximally entangled states that achieves this optimal sampling overhead. Hence, this offers a continuum between existing wire cutting and quantum teleportation.
Related papers
- Joint Wire Cutting with Non-Maximally Entangled States [37.89406056766725]
Wire cutting enables distributed quantum computing.
Wire cutting requires additional circuit executions to preserve result accuracy.
Our paper investigates the use of NME states for joint wire cuts, aiming to reduce the sampling overhead further.
Our three main contributions include (i) determining the minimal sampling overhead for this scenario, (ii) analyzing the overhead when using composite NME states constructed from smaller NME states, and (iii) introducing a wire cutting technique that achieves the optimal sampling overhead with pure NME states.
arXiv Detail & Related papers (2024-06-19T08:05:30Z) - FragQC: An Efficient Quantum Error Reduction Technique using Quantum
Circuit Fragmentation [4.2754140179767415]
We present it FragQC, a software tool that cuts a quantum circuit into sub-circuits when its error probability exceeds a certain threshold.
We achieve an increase of fidelity by 14.83% compared to direct execution without cutting the circuit, and 8.45% over the state-of-the-art ILP-based method.
arXiv Detail & Related papers (2023-09-30T17:38:31Z) - Fast Flux-Activated Leakage Reduction for Superconducting Quantum
Circuits [84.60542868688235]
leakage out of the computational subspace arising from the multi-level structure of qubit implementations.
We present a resource-efficient universal leakage reduction unit for superconducting qubits using parametric flux modulation.
We demonstrate that using the leakage reduction unit in repeated weight-two stabilizer measurements reduces the total number of detected errors in a scalable fashion.
arXiv Detail & Related papers (2023-09-13T16:21:32Z) - Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - Optimal Partitioning of Quantum Circuits using Gate Cuts and Wire Cuts [1.0507729375838437]
A limited number of qubits, high error rates, and limited qubit connectivity are major challenges for effective near-term quantum computations.
Quantum circuit partitioning divides a quantum computation into a set of computations that include smaller-scale quantum (sub)circuits and classical postprocessing steps.
We develop an optimal partitioning method based on recent advances in quantum circuit knitting.
arXiv Detail & Related papers (2023-08-18T13:59:55Z) - Circuit Cutting with Non-Maximally Entangled States [59.11160990637615]
Distributed quantum computing combines the computational power of multiple devices to overcome the limitations of individual devices.
circuit cutting techniques enable the distribution of quantum computations through classical communication.
Quantum teleportation allows the distribution of quantum computations without an exponential increase in shots.
We propose a novel circuit cutting technique that leverages non-maximally entangled qubit pairs.
arXiv Detail & Related papers (2023-06-21T08:03:34Z) - Doubly optimal parallel wire cutting without ancilla qubits [0.4394730767364254]
A restriction in the quality and quantity of available qubits presents a substantial obstacle to the application of near-term and early fault-tolerant quantum computers.
This paper studies the problem of decomposing the parallel $n$-qubit identity channel into a set of local operations and classical communication.
We give an optimal wire-cutting method comprised of channels based on mutually unbiased bases, that achieves minimal overheads in both the sampling overhead and the number of channels.
arXiv Detail & Related papers (2023-03-13T17:59:18Z) - Decomposition of Matrix Product States into Shallow Quantum Circuits [62.5210028594015]
tensor network (TN) algorithms can be mapped to parametrized quantum circuits (PQCs)
We propose a new protocol for approximating TN states using realistic quantum circuits.
Our results reveal one particular protocol, involving sequential growth and optimization of the quantum circuit, to outperform all other methods.
arXiv Detail & Related papers (2022-09-01T17:08:41Z) - Boundaries of quantum supremacy via random circuit sampling [69.16452769334367]
Google's recent quantum supremacy experiment heralded a transition point where quantum computing performed a computational task, random circuit sampling.
We examine the constraints of the observed quantum runtime advantage in a larger number of qubits and gates.
arXiv Detail & Related papers (2020-05-05T20:11:53Z)
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.