Increasing error tolerance in quantum computers with dynamic bias arrangement

• URL: http://arxiv.org/abs/2303.16122v1
• Date: Tue, 28 Mar 2023 16:43:33 GMT
• Title: Increasing error tolerance in quantum computers with dynamic bias arrangement
• Authors: Hector Bomb\'in, Chris Dawson, Naomi Nickerson, Mihir Pant, Jordan Sullivan
• Abstract summary: We introduce methods for increasing error tolerance by using classical decision-making to adaptively choose the bias in measurements. We show that for the best FBQC architecture of Bartolucci et al. (2023) the threshold increases from $2.7%$ to $7.5%$ per photon with the same resource state by using dynamic biasing.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Many quantum operations are expected to exhibit bias in the structure of their errors. Recent works have shown that a fixed bias can be exploited to improve error tolerance by statically arranging the errors in beneficial configurations. In some cases an error bias can be dynamically reconfigurable, an example being linear optical fusion where the basis of a fusion failure can be chosen before the measurement is made. Here we introduce methods for increasing error tolerance in this setting by using classical decision-making to adaptively choose the bias in measurements as a fault tolerance protocol proceeds. We study this technique in the setting of linear optical fusion based quantum computing (FBQC). We provide examples demonstrating that by dynamically arranging erasures, the loss tolerance can be tripled when compared to a static arrangement of biased errors while using the same quantum resources: we show that for the best FBQC architecture of Bartolucci et al. (2023) the threshold increases from $2.7\%$ to $7.5\%$ per photon with the same resource state by using dynamic biasing. Our method does not require any specific code structure beyond having a syndrome graph representation. We have chosen to illustrate these techniques using an architecture which is otherwise identical to that in Bartolucci et al. (2023), but deployed together with other techniques, such as different fusion networks, higher loss thresholds are possible.

Related papers

• Lightcone shading for classically accelerated quantum error mitigation [1.1801688624472007]
  Quantum error mitigation (QEM) can recover accurate expectation values from a noisy quantum computer by trading off bias for variance. Probabilistic error cancellation (PEC) stands out among QEM methods as an especially robust means of controllably eliminating bias. We present an algorithm providing a practical benefit for some problems even with modest classical resources.
  arXiv  Detail & Related papers  (2024-09-06T16:48:09Z)
• Learning to rank quantum circuits for hardware-optimized performance enhancement [0.0]
  We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits. We compare our method to two common approaches: random layout selection and a publicly available baseline called Mapomatic. Our best model leads to a $1.8times$ reduction in selection error when compared to the baseline approach and a $3.2times$ reduction when compared to random selection.
  arXiv  Detail & Related papers  (2024-04-09T18:00:01Z)
• Comparative study of quantum error correction strategies for the heavy-hexagonal lattice [44.99833362998488]
  Topological quantum error correction is a milestone in the scaling roadmap of quantum computers. The square-lattice surface code has become the workhorse to address this challenge. In some platforms, however, the connectivities are kept even lower in order to minimise gate errors.
  arXiv  Detail & Related papers  (2024-02-03T15:28:27Z)
• Fault-tolerant quantum computation using large spin cat-codes [0.8640652806228457]
  We construct a fault-tolerant quantum error-correcting protocol based on a qubit encoded in a large spin qudit using a spin-cat code. We show how to generate a universal gate set, including the rank-preserving CNOT gate, using quantum control and the Rydberg blockade. These findings pave the way for encoding a qubit in a large spin with the potential to achieve fault tolerance, high threshold, and reduced resource overhead in quantum information processing.
  arXiv  Detail & Related papers  (2024-01-08T22:56:05Z)
• Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit [62.55763504085508]
  We prove that a classical-to-quantum transfer learning architecture using a Variational Quantum Circuit (VQC) improves the representation and generalization (estimation error) capabilities of the VQC model. We show that the architecture of classical-to-quantum transfer learning leverages pre-trained classical generative AI models, making it easier to find the optimal parameters for the VQC in the training stage.
  arXiv  Detail & Related papers  (2023-05-18T03:08:18Z)
• 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)
• Parity-encoding-based quantum computing with Bayesian error tracking [0.0]
  Measurement-based quantum computing (MBQC) in linear optical systems is promising for near-future quantum computing architecture. We propose a linear optical topological MBQC protocol employing multiphoton qubits based on the parity encoding. We show that our protocol is advantageous over several other existing approaches in terms of fault-tolerance, resource overhead, or feasibility of basic elements.
  arXiv  Detail & Related papers  (2022-07-14T10:32:05Z)
• Deblurring via Stochastic Refinement [85.42730934561101]
  We present an alternative framework for blind deblurring based on conditional diffusion models. Our method is competitive in terms of distortion metrics such as PSNR.
  arXiv  Detail & Related papers  (2021-12-05T04:36:09Z)
• Performance of teleportation-based error correction circuits for bosonic codes with noisy measurements [58.720142291102135]
  We analyze the error-correction capabilities of rotation-symmetric codes using a teleportation-based error-correction circuit. We find that with the currently achievable measurement efficiencies in microwave optics, bosonic rotation codes undergo a substantial decrease in their break-even potential.
  arXiv  Detail & Related papers  (2021-08-02T16:12:13Z)
• Fusion-based quantum computation [43.642915252379815]
  Fusion-based quantum computing (FBQC) is a model of universal quantum computation in which entangling measurements, called fusions, are performed on qubits of small constant-sized entangled resource states. We introduce a stabilizer formalism for analyzing fault tolerance and computation in these schemes. This framework naturally captures the error structure that arises in certain physical systems for quantum computing, such as photonics.
  arXiv  Detail & Related papers  (2021-01-22T20:00:22Z)

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.