Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

Total Papers

27,548

This Month

1,041

Today

0

Research Volume

12,910 papers in 12 months (-5% vs prior quarter)

Research Focus Areas

Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

1,747 papers found

Ion trap with in-vacuum high numerical aperture imaging for a dual-species modular quantum computer.

Allison L Carter, J. O’Reilly, G. Toh +4 more·Oct 10, 2023

Photonic interconnects between quantum systems will play a central role in both scalable quantum computing and quantum networking. Entanglement of remote qubits via photons has been demonstrated in many platforms; however, improving the rate of entan...

MedicinePhysics

Generative quantum machine learning via denoising diffusion probabilistic models

Bingzhi Zhang, Peng Xu, Xiaohui Chen +1 more·Oct 9, 2023

Deep generative models are key-enabling technology to computer vision, text generation, and large language models. Denoising diffusion probabilistic models (DDPMs) have recently gained much attention due to their ability to generate diverse and high-...

Quantum PhysicsAIcs.LG

Quantum Computing and Visualization: A Disruptive Technological Change Ahead

E. .. Bethel, Mercy G. Amankwah, Jan Balewski +4 more·Oct 7, 2023

The focus of this Visualization Viewpoints article is to provide some background on quantum computing (QC), to explore ideas related to how visualization helps in understanding QC, and examine how QC might be useful for visualization with the growth ...

MedicineComputer SciencePhysics

Machine learning for efficient generation of universal photonic quantum computing resources

Amanuel Anteneh, Olivier Pfister·Oct 4, 2023

We present numerical simulations of deep reinforcement learning on a measurement-based quantum processor--a time-multiplexed optical circuit sampled by photon-number-resolving detection--and find it generates squeezed cat states with an average succe...

Physics

Charge-parity switching effects and optimisation of transmon-qubit design parameters

Miha Papič, J. Tuorila, Adrian Auer +2 more·Sep 29, 2023

Enhancing the performance of noisy quantum processors requires improving our understanding of error mechanisms and the ways to overcome them. A judicious selection of qubit design parameters plays a pivotal role in improving the performance of quantu...

Physics

QonFusion - Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion

Shlomo Kashani·Sep 28, 2023

In the present study, we delineate a strategy focused on non-parametric quantum circuits for the generation of Gaussian random variables (GRVs). This quantum-centric approach serves as a substitute for conventional pseudorandom number generators (PRN...

Computer SciencePhysics

Light correcting light with nonlinear optics

Sachleen Singh, B. Sephton, Wagner Tavares Buono +3 more·Sep 23, 2023

Abstract. Structured light, where complex optical fields are tailored in all their degrees of freedom, has become highly topical of late, advanced by a sophisticated toolkit comprising both linear and nonlinear optics. Removing undesired structure fr...

PhysicsEngineering

Reducing hardware requirements for entanglement distribution via joint hardware-protocol optimization

Adrià Labay Mora, Francisco Ferreira da Silva, Stephanie Wehner·Sep 20, 2023

We conduct a numerical investigation of fiber-based entanglement distribution over distances of up to 1600 km using a chain of processing-node quantum repeaters. We determine minimal hardware requirements while simultaneously optimizing over protocol...

Physics

Quantum Vision Clustering

Xuan-Bac Nguyen, Benjamin Thompson, Hugh Churchill +2 more·Sep 18, 2023

Unsupervised visual clustering has garnered significant attention in recent times, aiming to characterize distributions of unlabeled visual images through clustering based on a parameterized appearance approach. Alternatively, clustering algorithms c...

Computer SciencePhysics

Optimistic Entanglement Purification in Quantum Networks

Mohammad Mobayenjarihani, Gayane Vardoyan, Donald F. Towsley·Sep 17, 2023

Noise and photon loss encountered on quantum channels pose a major challenge for reliable entanglement generation in quantum networks. In near-term networks, heralding is required to inform endpoints of successfully generated entanglement. If after h...

Computer SciencePhysics

Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques

M. Davis, Joaquín Chung, Dirk R. Englund +1 more·Sep 17, 2023

Distributed quantum computing is motivated by the difficulty in building large-scale, individual quantum computers. To solve that problem, a large quantum circuit is partitioned and distributed to small quantum computers for execution. Partitions run...

PhysicsComputer Science

Mitigating controller noise in quantum gates using optimal control theory

Aviv Aroch, R. Kosloff, S. Kallush·Sep 14, 2023

All quantum systems are subject to noise from the environment or external controls. This noise is a major obstacle to the realization of quantum technology. For example, noise limits the fidelity of quantum gates. Employing optimal control theory, we...

PhysicsComputer Science

A real-time, scalable, fast and resource-efficient decoder for a quantum computer

Ben Barber, Kenton M. Barnes, Tomasz Bialas +10 more·Sep 11, 2023

The development of quantum computers will require the careful management of the noise effects associated with qubit performance. However, the decoders responsible for diagnosing noise-induced computational errors must use resources efficiently to ena...

Physics

Complete analysis of a realistic fiber-based quantum repeater scheme

A. Kinos, A. Walther, S. Kröll +1 more·Sep 8, 2023

We present a quantum repeater protocol for distributing entanglement over long distances, where a dedicated communication stage enables trial rates not limited by the travel time between repeater nodes. To accomplish this, each node contains several ...

Physics

Nishimori transition across the error threshold for constant-depth quantum circuits

Edward H. Chen, Guo-Yi Zhu, R. Verresen +9 more·Sep 6, 2023

Quantum computing involves the preparation of entangled states across many qubits. This requires efficient preparation protocols that are stable to noise and gate imperfections. Here we demonstrate the generation of the simplest long-range order—Isin...

Physics

Quantum Control Landscapes for Generation of H and T Gates in an Open Qubit with Both Coherent and Environmental Drive

V. Petruhanov, A. Pechen·Sep 5, 2023

An important problem in quantum computation is the generation of single-qubit quantum gates such as Hadamard (H) and π/8 (T) gates, which are components of a universal set of gates. Qubits in experimental realizations of quantum computing devices are...

Physics

Logical states for fault-tolerant quantum computation with propagating light

Shunya Konno, W. Asavanant, F. Hanamura +14 more·Sep 5, 2023

To harness the potential of a quantum computer, quantum information must be protected against error by encoding it into a logical state that is suitable for quantum error correction. The Gottesman-Kitaev-Preskill (GKP) qubit is a promising candidate ...

MedicinePhysics

Fast generation of Schrödinger cat states using a Kerr-tunable superconducting resonator

X. He, Yong Lu, D. Bao +7 more·Aug 28, 2023

Schrödinger cat states, quantum superpositions of macroscopically distinct classical states, are an important resource for quantum communication, quantum metrology and quantum computation. Especially, cat states in a phase space protected against pha...

MedicinePhysics

Efficient Long-Range Entanglement Using Dynamic Circuits

Elisa Baumer, Vinay Tripathi, Derek S. Wang +5 more·Aug 24, 2023

Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangled states. In principle, these limitations can be superseded by nonunitary, dynamic circuits. These circuits...

Physics

Quantum‐Noise‐Driven Generative Diffusion Models

Marco Parigi, Stefano Martina, F. Caruso·Aug 23, 2023

Generative models realized with Machine Learning (ML) techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to produce new synthetic data. Diffusion Models (DMs) are an emergin...

Computer SciencePhysicsMathematics
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