Scalable Quantum Computing with Optical Links
- URL: http://arxiv.org/abs/2505.00542v1
- Date: Thu, 01 May 2025 14:09:32 GMT
- Title: Scalable Quantum Computing with Optical Links
- Authors: M. J. Weaver, G. Arnold, H. Weaver, S. Gröblacher, R. Stockill,
- Abstract summary: Quantum computers have great potential to solve problems intractable on classical computers.<n>Quantum processors have not yet reached the required scale to run applications which outperform traditional computers.<n>Leading hardware platforms, such as superconducting qubit based processors, will soon become bottlenecked by the physical constraints of their low temperature environments.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum computers have great potential to solve problems which are intractable on classical computers. However, quantum processors have not yet reached the required scale to run applications which outperform traditional computers. Leading hardware platforms, such as superconducting qubit based processors, will soon become bottlenecked by the physical constraints of their low temperature environments, and the expansion of quantum computers will necessitate quantum links between multiple processor modules. Optical frequencies offer the most promising path for these links due to their resilience to noise even at ambient temperature and the maturity of classical optical networks. However, required microwave-to-optics transducers cannot operate deterministically yet, which has widely been seen as a key challenge for their integration into fault-tolerant quantum computers. In this work, we examine implementations of optical links between cryogenic units that surpass the performance of individual cryogenic modules even with the performance of existing or near-term microwave-to-optics transducers. We show methods for these transducers to provide on-demand entanglement between separated quantum processors with high fidelity and lay out key steps for adoption of the technology including scaling transducer numbers and integration with other hardware. Finally, we discuss a number of architectures comprised of these links which can drive the expansion of quantum data centers to utility scale.
Related papers
- Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
We develop a reinforcement learning-based quantum compiler for a superconducting processor.
We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths.
Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
arXiv Detail & Related papers (2024-06-18T01:49:48Z) - 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) - 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) - Rapid cryogenic characterisation of 1024 integrated silicon quantum dots [0.6819010383838326]
We demonstrate the integration of 1024 silicon quantum dots with on-chip digital and analogue electronics, all operating below 1 K.
Key quantum dot parameters are extracted by fast automated machine learning routines to assess quantum dot yield and understand the impact of device design.
Results show how rapid large-scale studies of silicon quantum devices can be performed at lower temperatures and measurement rates orders of magnitude faster than current probing techniques.
arXiv Detail & Related papers (2023-10-31T13:14:43Z) - 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) - Non-classical microwave-optical photon pair generation with a chip-scale
transducer [2.22842486426261]
We observe non-classical correlations between photons in an optical link and a superconducting electrical circuit.
The non-classical nature of the emitted light is verified by observing anti-bunching in the microwave state.
Such a transducer can be readily connected to a superconducting quantum processor, and serve as a key building block for optical quantum networks of microwave frequency qubits.
arXiv Detail & Related papers (2023-03-30T19:54:24Z) - A quantum-bit encoding converter [0.0]
We certify the protocol on a complete set of single-photon qubits, successfully converting them to cat-state qubits with fidelities exceeding the classical limit.
Our result demonstrates an essential tool for enabling interconnected quantum devices and architectures with enhanced versatility and scalability.
arXiv Detail & Related papers (2022-11-18T19:00:08Z) - Characterizing Qubit Traffic of a Quantum Intranet aiming at Modular
Quantum Computers [1.8602413562219944]
Quantum-core processors are envisioned as the ultimate solution for the scalability of quantum computers.
We present a technique to perform a-temporal characterization of quantum circuits running in multi-chip interconnected quantum computers.
arXiv Detail & Related papers (2022-08-31T21:33:17Z) - 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) - A quantum processor based on coherent transport of entangled atom arrays [44.62475518267084]
We show a quantum processor with dynamic, nonlocal connectivity, in which entangled qubits are coherently transported in a highly parallel manner.
We use this architecture to realize programmable generation of entangled graph states such as cluster states and a 7-qubit Steane code state.
arXiv Detail & Related papers (2021-12-07T19:00:00Z) - Building a large-scale quantum computer with continuous-variable optical
technologies [0.0]
This review introduces several topics of recent experimental and theoretical progress in the optical continuous-variable quantum computation.
We focus on scaling-up technologies enabled by time multiplexing, broadening bandwidth, and integrated optics, as well as hardware-efficient and robust bosonic quantum error correction schemes.
arXiv Detail & Related papers (2021-10-07T08:05:06Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z)
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.