A high-fidelity quantum matter-link between ion-trap microchip modules
- URL: http://arxiv.org/abs/2203.14062v3
- Date: Sun, 20 Nov 2022 06:04:56 GMT
- Title: A high-fidelity quantum matter-link between ion-trap microchip modules
- Authors: M. Akhtar, F. Bonus, F. R. Lebrun-Gallagher, N. I. Johnson, M.
Siegele-Brown, S. Hong, S. J. Hile, S. A. Kulmiya, S. Weidt and W. K.
Hensinger
- Abstract summary: We present a quantum matter-link in which ion qubits are transferred between adjacent quantum computing modules.
We show that the link does not measurably impact the phase coherence of the qubit.
Our work will facilitate the implementation of QCs capable of fault-tolerant utility-scale quantum computation.
- Score: 0.10835042482545287
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: System scalability is fundamental for large-scale quantum computers (QCs) and
is being pursued over a variety of hardware platforms. For QCs based on trapped
ions, architectures such as the quantum charge-coupled device (QCCD) are used
to scale the number of qubits on a single device. However, the number of ions
that can be hosted on a single quantum computing module is limited by the size
of the chip being used. Therefore, a modular approach is of critical importance
and requires quantum connections between individual modules. Here, we present
the demonstration of a quantum matter-link in which ion qubits are transferred
between adjacent QC modules. Ion transport between adjacent modules is realised
at a rate of 2424$\,$s$^{-1}$ and with an infidelity associated with ion loss
during transport below $7\times10^{-8}$. Furthermore, we show that the link
does not measurably impact the phase coherence of the qubit. The quantum
matter-link constitutes a practical mechanism for the interconnection of QCCD
devices. Our work will facilitate the implementation of modular QCs capable of
fault-tolerant utility-scale quantum computation.
Related papers
- Distributed Quantum Computing across an Optical Network Link [0.0]
We experimentally demonstrate the distribution of quantum computations between two photonically interconnected trapped-ion modules.
We deterministically teleport a controlled-Z gate between two circuit qubits in separate modules, achieving 86% fidelity.
As photons can be interfaced with a variety of systems, this technique has applications extending beyond trapped-ion quantum computers.
arXiv Detail & Related papers (2024-06-30T21:32:10Z) - Parallel Quantum Computing Simulations via Quantum Accelerator Platform Virtualization [44.99833362998488]
We present a model for parallelizing simulation of quantum circuit executions.
The model can take advantage of its backend-agnostic features, enabling parallel quantum circuit execution over any target backend.
arXiv Detail & Related papers (2024-06-05T17:16:07Z) - Distributed Quantum Computing in Silicon [40.16556091789959]
We present preliminary demonstrations of some key distributed quantum computing protocols on silicon T centres in isotopically-enriched silicon.
We demonstrate the distribution of entanglement between modules and consume it to apply a teleported gate sequence.
arXiv Detail & Related papers (2024-06-03T18:02:49Z) - 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) - Shuttling for Scalable Trapped-Ion Quantum Computers [2.8956730787977083]
We propose an efficient shuttling schedule for Trapped-ion quantum computers.
The proposed approach produces shuttling schedules with a close-to-minimal amount of time steps.
An implementation of the proposed approach is publicly available as part of the open-source Munich Quantum Toolkit.
arXiv Detail & Related papers (2024-02-21T19:00:04Z) - Heterogeneous integration of spin-photon interfaces with a scalable CMOS
platform [1.2253948665073315]
General-purpose quantum computing using local quantum communication networks will require millions of physical qubits to encode thousands of logical qubits.
We introduce a scalable hardware modular architecture "Quantum System-on-Chip" (QSoC)
QSoC features compact two-dimensional arrays "quantum microchiplets" (QMCs) containing tin-vacancy (SnV-) spin qubits integrated on a cryogenic application-specific integrated circuit (ASIC)
arXiv Detail & Related papers (2023-08-28T04:06:11Z) - 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) - Trapped Ions as an Architecture for Quantum Computing [110.83289076967895]
We describe one of the most promising platforms for the construction of a universal quantum computer.
We discuss from the physics involved in trapping ions in electromagnetic potentials to the Hamiltonian engineering needed to generate a universal set of logic gates.
arXiv Detail & Related papers (2022-07-23T22:58:50Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - Quantum Federated Learning with Quantum Data [87.49715898878858]
Quantum machine learning (QML) has emerged as a promising field that leans on the developments in quantum computing to explore large complex machine learning problems.
This paper proposes the first fully quantum federated learning framework that can operate over quantum data and, thus, share the learning of quantum circuit parameters in a decentralized manner.
arXiv Detail & Related papers (2021-05-30T12:19:27Z) - Demonstration of the trapped-ion quantum-CCD computer architecture [0.0]
We report on the integration of all necessary ingredients of the QCCD architecture into a programmable trapped-ion quantum computer.
Using four and six qubit circuits, the system level performance of the processor is endowed by the fidelity of a teleported CNOT gate.
Our work shows that the QCCD architecture built around these qubits will provide high performance quantum computers.
arXiv Detail & Related papers (2020-03-03T01:57:20Z)
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.