Robust photonic quantum gates with large number of waveguide segments
- URL: http://arxiv.org/abs/2404.09298v2
- Date: Sat, 18 Jan 2025 21:44:29 GMT
- Title: Robust photonic quantum gates with large number of waveguide segments
- Authors: Khen Cohen, Haim Suchowski, Yaron Oz,
- Abstract summary: We study the fidelity and power loss of composite designs for photonic quantum gates with a high number of segments.<n>Our findings demonstrate that optimized multi-segment waveguide geometrical designs significantly enhance the robustness and efficiency of photonic quantum gates.
- Score: 0.8192907805418583
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Realizing quantum information processors is challenged by errors and noise across all platforms. While composite segmentation schemes have been proposed in many systems, their application to photonic quantum gates in dual-rail configurations has only recently been demonstrated. However, prior research has been limited to a small number of segments, full noise correlation, and has overlooked the inherent power loss in such designs. Here, we study the fidelity and power loss of composite designs for photonic quantum gates with a high number of segments of varying geometrical widths. Using numerical simulations, we analyze the relationship between gate performance and the number of waveguide segments, accounting for statistical error correlations and variances. Beyond effectively reducing the errors, an asymptotic scaling pattern of quantum gate fidelity and power loss is observed as the number of segments increases. This analysis is examined in Silicon and Lithium Niobate platforms, addressing practical implementation challenges. Our findings demonstrate that optimized multi-segment waveguide geometrical designs significantly enhance the robustness and efficiency of photonic quantum gates, paving the way for more reliable quantum information processors.
Related papers
- Recirculating Quantum Photonic Networks for Fast Deterministic Quantum Information Processing [0.0]
We propose a recirculating quantum photonic network (RQPN) that minimizes the duration of quantum information processing tasks.<n>RQPN consists of a network of all-to-all connected nonlinear cavities with dynamically controlled waveguide couplings.<n>We show that processing all qubits simultaneously yields faster operations than single- and two-qubit decompositions of the three-qubit Toffoli gate.
arXiv Detail & Related papers (2026-02-11T17:01:40Z) - WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration [68.25711405944239]
Deep image registration has demonstrated exceptional accuracy and fast inference.
Recent advances have adopted either multiple cascades or pyramid architectures to estimate dense deformation fields in a coarse-to-fine manner.
We introduce a model-driven WiNet that incrementally estimates scale-wise wavelet coefficients for the displacement/velocity field across various scales.
arXiv Detail & Related papers (2024-07-18T11:51:01Z) - Demonstration of Lossy Linear Transformations and Two-Photon Interference on a Photonic Chip [78.1768579844556]
We show that engineered loss, using an auxiliary waveguide, allows one to invert the spatial statistics from bunching to antibunching.
We study the photon statistics within the loss-emulating channel and observe photon coincidences, which may provide insights into the design of quantum photonic integrated chips.
arXiv Detail & Related papers (2024-04-09T06:45:46Z) - Nonadiabatic geometric quantum gates with on-demand trajectories [2.5539863252714636]
We propose a general protocol for constructing geometric quantum gates with on-demand trajectories.
Our scheme adopts reverse engineering of the target Hamiltonian using smooth pulses.
Because a particular geometric gate can be induced by various different trajectories, we can further optimize the gate performance.
arXiv Detail & Related papers (2024-01-20T06:57:36Z) - Robust Quantum Gates against Correlated Noise in Integrated Quantum Chips [11.364693110852738]
We report the experimental realization of robust quantum gates in superconducting quantum circuits.
Our work provides a versatile toolbox for achieving noise-resilient complex quantum circuits.
arXiv Detail & Related papers (2024-01-03T16:12:35Z) - Charge-parity switching effects and optimisation of transmon-qubit design parameters [0.0]
We identify optimal ranges for qubit design parameters, grounded in comprehensive noise modeling.
A charge-parity switch can be the dominant quasiparticle-related error source of a two-qubit gate.
We present a performance metric for quantum circuit execution.
arXiv Detail & Related papers (2023-09-29T12:05:27Z) - Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - Correlation thresholds for effective composite pulse quantum error
mitigation [0.8192907805418583]
We investigate how error correlations impact the fidelity of quantum gates within the composite segmentation framework.
We prove the existence of a critical correlation threshold, above which the composite pulse method significantly enhances both the mean value and variance of the fidelity.
These findings contribute open new pathways of error mitigation strategies and their implications in quantum information processing.
arXiv Detail & Related papers (2023-08-16T22:25:45Z) - Variational waveguide QED simulators [58.720142291102135]
Waveguide QED simulators are made by quantum emitters interacting with one-dimensional photonic band-gap materials.
Here, we demonstrate how these interactions can be a resource to develop more efficient variational quantum algorithms.
arXiv Detail & Related papers (2023-02-03T18:55:08Z) - Tunable photon-mediated interactions between spin-1 systems [68.8204255655161]
We show how to harness multi-level emitters with several optical transitions to engineer photon-mediated interactions between effective spin-1 systems.
Our results expand the quantum simulation toolbox available in cavity QED and quantum nanophotonic setups.
arXiv Detail & Related papers (2022-06-03T14:52:34Z) - Quantum circuit debugging and sensitivity analysis via local inversions [62.997667081978825]
We present a technique that pinpoints the sections of a quantum circuit that affect the circuit output the most.
We demonstrate the practicality and efficacy of the proposed technique by applying it to example algorithmic circuits implemented on IBM quantum machines.
arXiv Detail & Related papers (2022-04-12T19:39:31Z) - Fault-Tolerant Directional Couplers for State Manipulation in Silicon
Photonic-Integrated Circuits [0.0]
Photonic integrated circuits play a central role in current and future applications such as communications, sensing, ranging, and information processing.
Fault-tolerant quantum computing mandates very accurate and robust quantum gates.
We demonstrate high-fidelity directional couplers for single-qubit gates in photonic integrated waveguides.
arXiv Detail & Related papers (2022-04-07T11:36:29Z) - Analytical and experimental study of center line miscalibrations in M\o
lmer-S\o rensen gates [51.93099889384597]
We study a systematic perturbative expansion in miscalibrated parameters of the Molmer-Sorensen entangling gate.
We compute the gate evolution operator which allows us to obtain relevant key properties.
We verify the predictions from our model by benchmarking them against measurements in a trapped-ion quantum processor.
arXiv Detail & Related papers (2021-12-10T10:56:16Z) - Statistical limits for quantum networks with semiconductor entangled
photon sources [1.44854099261305]
We explore the statistical limits for entanglement swapping with sources of polarization-entangled photons from the commonly used biexciton-exciton cascade.
We stress the necessity of tuning the exciton fine structure, and explain why the often observed time evolution of photonic entanglement in quantum dots is not applicable for large quantum networks.
arXiv Detail & Related papers (2021-09-14T14:57:50Z) - Accurate methods for the analysis of strong-drive effects in parametric
gates [94.70553167084388]
We show how to efficiently extract gate parameters using exact numerics and a perturbative analytical approach.
We identify optimal regimes of operation for different types of gates including $i$SWAP, controlled-Z, and CNOT.
arXiv Detail & Related papers (2021-07-06T02:02:54Z) - Post-Training Quantization for Vision Transformer [85.57953732941101]
We present an effective post-training quantization algorithm for reducing the memory storage and computational costs of vision transformers.
We can obtain an 81.29% top-1 accuracy using DeiT-B model on ImageNet dataset with about 8-bit quantization.
arXiv Detail & Related papers (2021-06-27T06:27:22Z) - Variational Quantum Optimization with Multi-Basis Encodings [62.72309460291971]
We introduce a new variational quantum algorithm that benefits from two innovations: multi-basis graph complexity and nonlinear activation functions.
Our results in increased optimization performance, two increase in effective landscapes and a reduction in measurement progress.
arXiv Detail & Related papers (2021-06-24T20:16:02Z)
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.