Quantum error detection in qubit-resonator star architecture
- URL: http://arxiv.org/abs/2503.12869v2
- Date: Thu, 10 Apr 2025 11:39:48 GMT
- Title: Quantum error detection in qubit-resonator star architecture
- Authors: Florian Vigneau, Sourav Majumder, Aniket Rath, Pedro Parrado-RodrÃguez, Francisco Revson Fernandes Pereira, Stefan Pogorzalek, Tyler Jones, Nicola Wurz, Michael Renger, Jeroen Verjauw, Ping Yang, Hsiang-Sheng Ku, William Kindel, Frank Deppe, Johannes Heinsoo,
- Abstract summary: We encode two logical qubits in a star-topology superconducting QPU.<n>We measure logical state fidelities above 96 % for every cardinal logical state.<n>The presented QPU configuration can be used to enable qubit-count efficient QEC codes.
- Score: 5.1474924705769185
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Achieving industrial quantum advantage is unlikely without the use of quantum error correction (QEC). Other QEC codes beyond surface code are being experimentally studied, such as color codes and quantum Low-Density Parity Check (qLDPC) codes, that could benefit from new quantum processing unit (QPU) architectures. Star-topology offers effective all-to-all connectivity in comparison to the square-grid topology and thus enables more hardware efficient implementation of some QEC codes. We encode two logical qubits in a star-topology superconducting QPU using the [[4,2,2]] code and characterize the logical states with the classical shadow framework. Logical life-time and logical error rate are measured over repeated quantum error detection cycles for various logical states including a logical Bell state. We measure logical state fidelities above 96 % for every cardinal logical state, find logical life-times above the best physical element, and logical error-per-cycle values ranging from from 0.25(2) % to 0.91(3) %. The presented QPU configuration can be used to enable qubit-count efficient QEC codes via the high connectivity in future devices.
Related papers
- Error correction of a logical qubit encoded in a single atomic ion [0.0]
Quantum error correction (QEC) is essential for quantum computers to perform useful algorithms.
Recent work has proposed a complementary approach of performing error correction at the single-particle level.
Here we demonstrate QEC in a single atomic ion that decreases errors by a factor of up to 2.2 and extends the qubit's useful lifetime by a factor of up to 1.5.
arXiv Detail & Related papers (2025-03-18T05:10:21Z) - Universal logical operations with a dynamical qubit in Floquet code [19.281236593958674]
We experimentally implement the Floquet-Bacon-Shor code on a superconducting quantum processor.<n>We encode a dynamical logical qubit within a $3times 3$ lattice of data qubits, alongside a conventional static logical qubit.<n>Our results highlight the potential of Floquet codes for scalable and resource-efficient FT quantum computation.
arXiv Detail & Related papers (2025-03-05T19:55:10Z) - Quantum LDPC codes for erasure-biased atomic quantum processors [0.0]
Quantum Low-Density Parity-Check (LDPC) codes have been recently shown to provide a path towards fault-tolerant quantum computing.<n>We demonstrate that when the dominant errors are erasures, quantum LDPC codes additionally provide high thresholds and even stronger logical error suppression.
arXiv Detail & Related papers (2025-02-27T15:23:40Z) - Experimental Demonstration of Logical Magic State Distillation [62.77974948443222]
We present the experimental realization of magic state distillation with logical qubits on a neutral-atom quantum computer.<n>Our approach makes use of a dynamically reconfigurable architecture to encode and perform quantum operations on many logical qubits in parallel.
arXiv Detail & Related papers (2024-12-19T18:38:46Z) - Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance [67.77677387243135]
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML)
At the core of QNC is the quantum perceptron (QP), which leverages the analog dynamics of interacting qubits to enable universal quantum computation.
arXiv Detail & Related papers (2024-11-13T23:56:20Z) - 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) - Logical quantum processor based on reconfigurable atom arrays [27.489364850707926]
We report the realization of a programmable quantum processor based on encoded logical qubits operating with up to 280 physical qubits.
Results herald the advent of early error-corrected quantum computation.
arXiv Detail & Related papers (2023-12-07T01:54:45Z) - Single-shot decoding of good quantum LDPC codes [38.12919328528587]
We prove that quantum Tanner codes facilitate single-shot quantum error correction (QEC) of adversarial noise.
We show that in order to suppress errors over multiple repeated rounds of QEC, it suffices to run the parallel decoding algorithm for constant time in each round.
arXiv Detail & Related papers (2023-06-21T18:00:01Z) - Enabling Full-Stack Quantum Computing with Changeable Error-Corrected
Qubits [14.770636234849444]
We propose CECQ to explore the large design space for FTQC based on changeable logical qubits.
Experiments on various quantum programs demonstrate the effectiveness of CECQ.
arXiv Detail & Related papers (2023-05-11T18:14:49Z) - Deep Quantum Error Correction [73.54643419792453]
Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing.
In this work, we efficiently train novel emphend-to-end deep quantum error decoders.
The proposed method demonstrates the power of neural decoders for QECC by achieving state-of-the-art accuracy.
arXiv Detail & Related papers (2023-01-27T08:16:26Z) - Entanglement Purification with Quantum LDPC Codes and Iterative Decoding [5.5165579223151795]
We use QLDPC codes to distill GHZ states, as the resulting high-fidelity logical GHZ states can interact directly with the code used to perform distributed quantum computing.
Our results apply to larger size GHZ states as well, where we extend our technical result about a measurement property of $3$-qubit GHZ states to construct a scalable GHZ purification protocol.
arXiv Detail & Related papers (2022-10-25T16:42:32Z) - Logical blocks for fault-tolerant topological quantum computation [55.41644538483948]
We present a framework for universal fault-tolerant logic motivated by the need for platform-independent logical gate definitions.
We explore novel schemes for universal logic that improve resource overheads.
Motivated by the favorable logical error rates for boundaryless computation, we introduce a novel computational scheme.
arXiv Detail & Related papers (2021-12-22T19:00:03Z) - LQP: The Dynamic Logic of Quantum Information [77.34726150561087]
This paper introduces a dynamic logic formalism for reasoning about information flow in composite quantum systems.
We present a finitary syntax, a relational semantics and a sound proof system for this logic.
As applications, we use our system to give formal correctness for the Teleportation protocol and for a standard Quantum Secret Sharing protocol.
arXiv Detail & Related papers (2021-10-04T12:20:23Z) - Fault-tolerant Coding for Quantum Communication [71.206200318454]
encode and decode circuits to reliably send messages over many uses of a noisy channel.
For every quantum channel $T$ and every $eps>0$ there exists a threshold $p(epsilon,T)$ for the gate error probability below which rates larger than $C-epsilon$ are fault-tolerantly achievable.
Our results are relevant in communication over large distances, and also on-chip, where distant parts of a quantum computer might need to communicate under higher levels of noise.
arXiv Detail & Related papers (2020-09-15T15:10:50Z)
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.