Scalable Optical Quantum State Synthesizer with Dual-Mode Cavity Memory
- URL: http://arxiv.org/abs/2502.09033v1
- Date: Thu, 13 Feb 2025 07:41:44 GMT
- Title: Scalable Optical Quantum State Synthesizer with Dual-Mode Cavity Memory
- Authors: Fumiya Hanamura, Kan Takase, Kazuki Hirota, Rajveer Nehra, Florian Lang, Shigehito Miki, Hirotaka Terai, Masahiro Yabuno, Takahiro Kashiwazaki, Asuka Inoue, Takeshi Umeki, Warit Asavanant, Mamoru Endo, Jun-ichi Yoshikawa, Akira Furusawa,
- Abstract summary: We demonstrate a scalable method for generating optical non-Gaussian states using a cavity-based quantum memory operating in continuous time.
We successfully generated Wigner-negative states, a key requirement for quantum error correction.
This work also marks the first full demonstration of continuous-time cavity-based quantum memory.
- Score: 0.9051845653704739
- License:
- Abstract: Quantum computing with light is a promising approach to achieving large-scale quantum computation. While Gaussian operations on optical states have been successfully scaled, the generation of highly non-Gaussian states remains a critical challenge for achieving universality and fault-tolerance. However, due to the inherently weak nonlinearity in optics, creating non-Gaussian states remains challenging. A promising solution is to ``breed'' non-Gaussianity by combining multiple weakly non-Gaussian states using quantum memory systems. Here, we propose and demonstrate a scalable method for generating optical non-Gaussian states using a cavity-based quantum memory operating in continuous time. Our memory features dual-mode operation, enabling efficient switching between memory and entangling functionalities, allowing state generation and processing with minimal resources. By employing a time-domain-multiplexed breeding protocol, we successfully generated Wigner-negative states, a key requirement for quantum error correction. This work also marks the first full demonstration of continuous-time cavity-based quantum memory, encompassing the complete processes of writing, storage, and readout. These results represent a significant advancement in quantum information processing with light, providing a scalable method for generating complex non-Gaussian states essential for fault-tolerant quantum computing. Beyond advancing optical quantum computing, the techniques and insights from this work could impact a wide range of applications, from enhancing quantum communication networks to refining quantum sensing and metrology.
Related papers
- Unitary-transformed projective squeezing: applications for circuit-knitting and state-preparation of non-Gaussian states [0.15833270109954137]
Continuous-variable (CV) quantum computing is a promising candidate for quantum computation.
This work extends the projective squeezing method to establish a formalism for projecting quantum states onto the states that are unitary-transformed from the squeezed vacuum.
arXiv Detail & Related papers (2024-11-29T06:53:47Z) - 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) - 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) - 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) - Quantum process tomography of continuous-variable gates using coherent
states [49.299443295581064]
We demonstrate the use of coherent-state quantum process tomography (csQPT) for a bosonic-mode superconducting circuit.
We show results for this method by characterizing a logical quantum gate constructed using displacement and SNAP operations on an encoded qubit.
arXiv Detail & Related papers (2023-03-02T18:08:08Z) - Simulation of Entanglement Generation between Absorptive Quantum
Memories [56.24769206561207]
We use the open-source Simulator of QUantum Network Communication (SeQUeNCe), developed by our team, to simulate entanglement generation between two atomic frequency comb (AFC) absorptive quantum memories.
We realize the representation of photonic quantum states within truncated Fock spaces in SeQUeNCe.
We observe varying fidelity with SPDC source mean photon number, and varying entanglement generation rate with both mean photon number and memory mode number.
arXiv Detail & Related papers (2022-12-17T05:51:17Z) - High-performance cavity-enhanced quantum memory with warm atomic cell [1.0539847330971805]
We report a high-performance cavity-enhanced electromagnetically-induced-transparency memory with warm atomic cell.
It has been experimentally demonstrated that the average fidelities for a set of input coherent states with different phases and amplitudes within a Gaussian distribution have exceeded the classical benchmark fidelities.
arXiv Detail & Related papers (2022-06-17T01:59:26Z) - 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) - Non-Gaussian photonic state engineering with the quantum frequency
processor [0.7758302353877525]
Non-Gaussian quantum states of light are critical resources for optical quantum information processing.
We introduce a generic approach for non-Gaussian state production from input states populating discrete frequency bins.
arXiv Detail & Related papers (2021-08-18T17:58:42Z) - Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg
Atoms [55.41644538483948]
We provide the first complete characterization of sources of error in a neutral-atom quantum computer.
We develop a novel and distinctly efficient method to address the most important errors associated with the decay of atomic qubits to states outside of the computational subspace.
Our protocols can be implemented in the near-term using state-of-the-art neutral atom platforms with qubits encoded in both alkali and alkaline-earth atoms.
arXiv Detail & Related papers (2021-05-27T23:29:53Z) - All-optical Quantum State Engineering for Rotation-symmetric Bosonic
States [0.0]
We propose and analyze a method to generate a variety of non-Gaussian states using coherent photon subtraction.
Our method can be readily implemented with current quantum photonic technologies.
arXiv Detail & Related papers (2021-05-23T22:43:23Z)
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.