Universal control of a six-qubit quantum processor in silicon
- URL: http://arxiv.org/abs/2202.09252v1
- Date: Fri, 18 Feb 2022 15:28:29 GMT
- Title: Universal control of a six-qubit quantum processor in silicon
- Authors: Stephan G.J. Philips, Mateusz T. M\k{a}dzik, Sergey V. Amitonov,
Sander L. de Snoo, Maximilian Russ, Nima Kalhor, Christian Volk, William I.L.
Lawrie, Delphine Brousse, Larysa Tryputen, Brian Paquelet Wuetz, Amir Sammak,
Menno Veldhorst, Giordano Scappucci, Lieven M.K. Vandersypen
- Abstract summary: Future quantum computers will require a large number of qubits that can be operated reliably.
We design, fabricate and operate a six-qubit processor with a focus on careful Hamiltonian engineering.
These advances will allow for testing of increasingly meaningful quantum protocols.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Future quantum computers capable of solving relevant problems will require a
large number of qubits that can be operated reliably. However, the requirements
of having a large qubit count and operating with high-fidelity are typically
conflicting. Spins in semiconductor quantum dots show long-term promise but
demonstrations so far use between one and four qubits and typically optimize
the fidelity of either single- or two-qubit operations, or initialization and
readout. Here we increase the number of qubits and simultaneously achieve
respectable fidelities for universal operation, state preparation and
measurement. We design, fabricate and operate a six-qubit processor with a
focus on careful Hamiltonian engineering, on a high level of abstraction to
program the quantum circuits and on efficient background calibration, all of
which are essential to achieve high fidelities on this extended system. State
preparation combines initialization by measurement and real-time feedback with
quantum-non-demolition measurements. These advances will allow for testing of
increasingly meaningful quantum protocols and constitute a major stepping stone
towards large-scale quantum computers.
Related papers
- On-Chip Verified Quantum Computation with an Ion-Trap Quantum Processing Unit [0.5497663232622965]
We present and experimentally demonstrate a novel approach to verification and benchmarking of quantum computing.
Unlike previous information-theoretically secure verification protocols, our approach is implemented entirely on-chip.
Our results pave the way for more accessible and efficient verification and benchmarking strategies in near-term quantum devices.
arXiv Detail & Related papers (2024-10-31T16:54:41Z) - 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) - 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) - Enhanced quantum state transfer: Circumventing quantum chaotic behavior [35.74056021340496]
We show how to transfer few-particle quantum states in a two-dimensional quantum network.
Our approach paves the way to short-distance quantum communication for connecting distributed quantum processors or registers.
arXiv Detail & Related papers (2024-02-01T19:00:03Z) - 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) - Assessing requirements to scale to practical quantum advantage [56.22441723982983]
We develop a framework for quantum resource estimation, abstracting the layers of the stack, to estimate resources required for large-scale quantum applications.
We assess three scaled quantum applications and find that hundreds of thousands to millions of physical qubits are needed to achieve practical quantum advantage.
A goal of our work is to accelerate progress towards practical quantum advantage by enabling the broader community to explore design choices across the stack.
arXiv Detail & Related papers (2022-11-14T18:50:27Z) - Anticipative measurements in hybrid quantum-classical computation [68.8204255655161]
We present an approach where the quantum computation is supplemented by a classical result.
Taking advantage of its anticipation also leads to a new type of quantum measurements, which we call anticipative.
In an anticipative quantum measurement the combination of the results from classical and quantum computations happens only in the end.
arXiv Detail & Related papers (2022-09-12T15:47:44Z) - Suppressing decoherence in quantum state transfer with unitary
operations [1.9662978733004601]
We study an application of quantum state-dependent pre- and post-processing unitary operations for protecting the given (multi-qubit) quantum state.
We observe the increase in the fidelity of the output quantum state both in a quantum emulation experiment and in a real experiment with a cloud-accessible quantum processor.
arXiv Detail & Related papers (2022-08-09T17:41:20Z) - An Amplitude-Based Implementation of the Unit Step Function on a Quantum
Computer [0.0]
We introduce an amplitude-based implementation for approximating non-linearity in the form of the unit step function on a quantum computer.
We describe two distinct circuit types which receive their input either directly from a classical computer, or as a quantum state when embedded in a more advanced quantum algorithm.
arXiv Detail & Related papers (2022-06-07T07:14:12Z) - Cavity-enhanced quantum network nodes [0.0]
A future quantum network will consist of quantum processors that are connected by quantum channels.
I will describe how optical resonators facilitate quantum network nodes.
arXiv Detail & Related papers (2022-05-30T18:50:35Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z)
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.