Generation of 95-qubit genuine entanglement and verification of symmetry-protected topological phases

• URL: http://arxiv.org/abs/2505.01978v1
• Date: Sun, 04 May 2025 03:40:34 GMT
• Title: Generation of 95-qubit genuine entanglement and verification of symmetry-protected topological phases
• Abstract summary: We successfully generate and verify 95-qubit one-dimensional and 72-qubit two-dimensional genuine entangled cluster states.<n>Our results represent a significant advancement in large-scale entanglement generation and topological phase simulation.
• Score: 65.36609782915427
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Symmetry-protected topological (SPT) phases are fundamental features of cluster states, serving as key resources for measurement-based quantum computation (MBQC). Generating large-scale cluster states and verifying their SPT phases are essential steps toward practical MBQC, which however still presents significant experimental challenges. In this work, we address these challenges by utilizing advanced superconducting hardware with optimized gate operations, enhanced readout fidelity, and error mitigation techniques. We successfully generate and verify 95-qubit one-dimensional and 72-qubit two-dimensional genuine entangled cluster states, achieving fidelities of $0.5603 \pm 0.0084$ and $0.5519 \pm 0.0054$, respectively. Leveraging these high-fidelity cluster states, we investigate SPT phases through quantum teleportation across all 95 qubits and demonstrate input-state-dependent robustness against symmetry-breaking perturbations, highlighting the practicality and intrinsic robustness of MBQC enabled by the SPT order. Our results represent a significant advancement in large-scale entanglement generation and topological phase simulation, laying the foundation for scalable and practical MBQC using superconducting quantum systems.

Related papers

• Preparing 100-qubit symmetry-protected topological order on a digital quantum computer [0.0]
  Demonstrating symmetry-protected quantum matter at scale is a key milestone in using quantum hardware to probe emergent many-body phenomena.<n>Here we use a tensor network based approximate quantum compiling (AQC) protocol to construct shallow quantum circuits.<n>The resulting states exhibit all defining signatures of SPT order including non-local string order for strings of up to length 20, characteristic degeneracies in the entanglement spectrum and clear evidence of symmetry-protected edge modes.
  arXiv  Detail & Related papers  (2026-03-06T14:27:20Z)
• Observation of Robust and Coherent Non-Abelian Hadron Dynamics on Noisy Quantum Processors [0.0]
  This study reports the quantum simulation of hadron dynamics within a $ (1+1)$-dimensional SU(2) lattice gauge theory using a 156-qubit IBM superconducting processor.<n>We successfully observe the continuum-cone propagation of a confined meson and internal oscillations indicative of early-time had breathing modes.<n>Results establish a scalable pathway for simulating non-Abelian dynamics on near-term quantum hardware.
  arXiv  Detail & Related papers  (2026-02-20T09:09:55Z)
• Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
  CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
  arXiv  Detail & Related papers  (2026-01-10T02:36:03Z)
• Physics Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing [0.46906883107634084]
  PIGen-SQD is an efficiently designed quantum supercomputing (QCSC) workflow that utilizes the capability of generative machine learning (ML)<n> PIGen-SQD advances the robustness and scalability of QCSC algorithms, offering a promising pathway toward chemically reliable quantum simulations on utility-scale quantum hardware.
  arXiv  Detail & Related papers  (2025-12-07T14:27:12Z)
• TensoMeta-VQC: A Tensor-Train-Guided Meta-Learning Framework for Robust and Scalable Variational Quantum Computing [60.996803677584424]
  TensoMeta-VQC is a novel tensor-train (TT)-guided meta-learning framework designed to improve the robustness and scalability of VQC significantly.<n>Our framework fully delegates the generation of quantum circuit parameters to a classical TT network, effectively decoupling optimization from quantum hardware.
  arXiv  Detail & Related papers  (2025-08-01T23:37:55Z)
• Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors [64.50565018996328]
  We introduce the concept of predictive surrogates, designed to emulate the mean-value behavior of a given quantum processor with provably computational efficiency.<n>We use these surrogates to emulate a quantum processor with up to 20 programmable superconducting qubits, enabling efficient pre-training of variational quantum eigensolvers.<n> Experimental results reveal that the predictive surrogates not only reduce measurement overhead by orders of magnitude, but can also surpass the performance of conventional, quantum-resource-intensive approaches.
  arXiv  Detail & Related papers  (2025-07-23T12:51:03Z)
• Calibration of Quantum Devices via Robust Statistical Methods [45.464983015777314]
  We numerically analyze advanced statistical methods for Bayesian inference against the state-of-the-art in quantum parameter learning.<n>We show advantages of these approaches over existing ones, namely under multi-modality and high dimensionality.<n>Our findings have applications in challenging quantumcharacterization tasks namely learning the dynamics of open quantum systems.
  arXiv  Detail & Related papers  (2025-07-09T15:22:17Z)
• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning [60.996803677584424]
  Variational Quantum Circuits (VQCs) offer a novel pathway for quantum machine learning.<n>Their practical application is hindered by inherent limitations such as constrained linear expressivity, optimization challenges, and acute sensitivity to quantum hardware noise.<n>This work introduces VQC-MLPNet, a scalable and robust hybrid quantum-classical architecture designed to overcome these obstacles.
  arXiv  Detail & Related papers  (2025-06-12T01:38:15Z)
• Measurement-driven quantum advantages in shallow circuits [0.3683202928838613]
  Quantum advantage schemes probe the boundary between classically simulatable quantum systems and those that go beyond this realm.<n>Here, we introduce a constant-depth measurement-driven approach for efficiently sampling from a broad class of dense instantaneous quantum-time circuits.
  arXiv  Detail & Related papers  (2025-05-07T18:00:51Z)
• Robust Simulations of Many-Body Symmetry-Protected Topological Phase Transitions on a Quantum Processor [7.515748475237134]
  Topology and symmetry play critical roles in characterizing quantum phases of matter.<n>Recent advancements have unveiled symmetry-protected topological (SPT) phases in many-body systems.<n>We demonstrate the robust simulation of many-body ground states of an Ising-cluster model on a quantum computer.
  arXiv  Detail & Related papers  (2025-03-11T18:00:02Z)
• Super-Robust Nonadiabatic Holonomic Quantum Computation in coherence-protected Superconducting Circuits [0.35998666903987897]
  Super-Robust NHQC scheme within the Decoherence-Free Subspace (DFS) Our approach enables universal gate operations on a scalable two-dimensional square lattice of superconducting qubits.
  arXiv  Detail & Related papers  (2024-10-10T15:45:57Z)
• Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [62.46800898243033]
  Recent progress in quantum learning theory prompts a question: can linear properties of a large-qubit circuit be efficiently learned from measurement data generated by varying classical inputs?<n>We prove that the sample complexity scaling linearly in $d$ is required to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.<n>We propose a kernel-based method leveraging classical shadows and truncated trigonometric expansions, enabling a controllable trade-off between prediction accuracy and computational overhead.
  arXiv  Detail & Related papers  (2024-08-22T08:21:28Z)
• Phase transitions in (2 + 1)D subsystem-symmetric monitored quantum circuits [0.0]
  Measurement-based quantum computation (MBQC) is a well-known computational paradigm where measurements simulate unitary evolution.<n>We investigate measurement-induced phase transition (MIPT) on a torus with three levels of symmetry-respecting unitary evolution interspersed by measurements.<n>We find two area-law phases and one volume-law phase with distinct entanglement structures for each ensemble.
  arXiv  Detail & Related papers  (2024-07-25T19:00:28Z)
• Computational Characterization of Symmetry-Protected Topological Phases in Open Quantum Systems [0.0]
  Gate fidelity is a measure of the computational power of the measurement-based quantum computation. We show that the fidelity for the identity gate, which is given by the sum of the non-local string order parameters, plays an important role.
  arXiv  Detail & Related papers  (2024-05-28T17:00:17Z)
• Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation [39.20075231137991]
  We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems.<n> scaling these methods to larger system sizes reveals three key challenges: the smoothness of the CDF for large supports, the lack of tight lower bounds on the overlap with the true ground state, and the difficulty of preparing high-quality initial states.
  arXiv  Detail & Related papers  (2024-05-06T18:00:03Z)
• Mitigating Errors on Superconducting Quantum Processors through Fuzzy Clustering [38.02852247910155]
  A new Quantum Error Mitigation (QEM) technique uses Fuzzy C-Means clustering to specifically identify measurement error patterns. We report a proof-of-principle validation of the technique on a 2-qubit register, obtained as a subset of a real NISQ 5-qubit superconducting quantum processor. We demonstrate that the FCM-based QEM technique allows for reasonable improvement of the expectation values of single- and two-qubit gates based quantum circuits.
  arXiv  Detail & Related papers  (2024-02-02T14:02:45Z)
• Beyond MP2 initialization for unitary coupled cluster quantum circuits [0.0]
  unitary coupled cluster (UCC) ansatz is a promising tool for achieving high-precision results. We advance the state of the art of UCC simulations by utilizing an efficient sparse wavefunction circuit solver.
  arXiv  Detail & Related papers  (2023-01-13T17:06:50Z)
• Fidelity Strange Correlators for Average Symmetry-Protected Topological Phases [5.958323632083269]
  Average Symmetry-Protected Topological phases extend to quantum systems affected by disorder or decoherence.<n>We introduce a strange correlator (FSC) which operates directly on a single bulk density matrix without boundaries.<n>Our work lays the groundwork for identifying these intriguing topological phases of matter in open quantum systems.
  arXiv  Detail & Related papers  (2022-10-31T17:12:02Z)
• Symmetric Pruning in Quantum Neural Networks [111.438286016951]
  Quantum neural networks (QNNs) exert the power of modern quantum machines. QNNs with handcraft symmetric ansatzes generally experience better trainability than those with asymmetric ansatzes. We propose the effective quantum neural tangent kernel (EQNTK) to quantify the convergence of QNNs towards the global optima.
  arXiv  Detail & Related papers  (2022-08-30T08:17:55Z)
• Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage [43.3054117987806]
  We introduce a scalable procedure for harnessing classical computing resources to provide pre-optimized initializations for quantum circuits. We show this method significantly improves the trainability and performance of PQCs on a variety of problems. By demonstrating a means of boosting limited quantum resources using classical computers, our approach illustrates the promise of this synergy between quantum and quantum-inspired models in quantum computing.
  arXiv  Detail & Related papers  (2022-08-29T15:24:03Z)
• Experimental validation of the Kibble-Zurek Mechanism on a Digital Quantum Computer [62.997667081978825]
  The Kibble-Zurek mechanism captures the essential physics of nonequilibrium quantum phase transitions with symmetry breaking. We experimentally tested the KZM for the simplest quantum case, a single qubit under the Landau-Zener evolution. We report on extensive IBM-Q experiments on individual qubits embedded in different circuit environments and topologies.
  arXiv  Detail & Related papers  (2022-08-01T18:00:02Z)

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.