Tootfinder

Quantum Backbone Networks for Hybrid Quantum Dataframe Transmission
Francesco Vista, Daniel Holme, Stephen DiAdamo
https://arxiv.org/abs/2404.18521 https:/…

Quantum Backbone Networks for Hybrid Quantum Dataframe Transmission
To realize a global quantum Internet, there is a need for communication between quantum subnetworks. To accomplish this task, there have been multiple design proposals for a quantum backbone network and quantum subnetworks. In this work, we elaborate on the design that uses entanglement and quantum teleportation to build the quantum backbone between packetized quantum networks. We design a network interface to interconnect packetized quantum networks with entanglement-based quantum backbone net…

Not everyone is impressed with the announcement that the Australian government is funding quantum computing development. #auspol https://www.crikey.com.au/2024/04/30/labor

Labor reduces transparency to the quantum level in deal with US firm
The deal to invest $940 million in a Californian quantum computer company is marked by plenty of secrecy and no clarity on the case for the spending.

Experimental Demonstration of Thermodynamics of Three-level Quantum Heat Engine using Superconducting Quantum Circuits
Gao-xiang Deng, Haoqiang Ai, Wei Shao, Yu Liu, Zheng Cui
https://arXiv.org/abs/2401.15833

Experimental Demonstration of Thermodynamics of Three-level Quantum Heat Engine using Superconducting Quantum Circuits
The three-level system represents the smallest quantum system capable of autonomous cycling in quantum heat engines. This study proposes a method to demonstrate the actual thermodynamics of a three-level quantum heat engine by designing and implementing superconducting quantum circuits. Following error mitigation, the outcomes from the quantum circuit model designed in this study, when executed on a real quantum device, closely align with theoretical predictions, thereby validating the effectiv…

Equivalence Checking of Parameterised Quantum Circuits
Xin Hong, Wei-Jia Huang, Wei-Chen Chien, Yuan Feng, Min-Hsiu Hsieh, Sanjiang Li, Mingsheng Ying
https://arxiv.org/abs/2404.18456

Equivalence Checking of Parameterised Quantum Circuits
Parameterised quantum circuits (PQCs) hold great promise for demonstrating quantum advantages in practical applications of quantum computation. Examples of successful applications include the variational quantum eigensolver, the quantum approximate optimisation algorithm, and quantum machine learning. However, before executing PQCs on real quantum devices, they undergo compilation and optimisation procedures. Given the inherent error-proneness of these processes, it becomes crucial to verify th…

Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
Yan-Ying Liang, Si-Le Tang, Zhe-Hao Yi, Hao-Zhen Si-Tu, Zhu-Jun Zheng
https://arXiv.org/abs/2401.15665

Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
Classical data with graph structure always exists when dealing with many real-world problems. In parallel, quantum data with graph structure also need to be investigated since they are always produced by structured quantum data sources.In this paper, we make use of a hybrid quantum-classical neural network with deep residual learning (Res-HQCNN) to learn graph-structured quantum data. Specifically, based on the special definition of graph-structured quantum data, we first find suitable cost fun…

Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
Benchen Huang, Yi-Ting Chen, Brajesh Gupt, Martin Suchara, Anh Tran, Sam McArdle, Giulia Galli
https://arxiv.org/abs/2404.18303

Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematically tackle this problem. Recent work by Huggins et al.[1] proposed a hybrid quantum-classical quantum Monte Carlo (QC-QMC) algorithm using Clifford shadows to determine the ground state of a Fermionic Hamiltonian. This approach displayed inherent noi…

Quantum Benchmarking via Random Dynamical Quantum Maps
Daniel Volya, Prabhat Mishra
https://arxiv.org/abs/2404.18846 https://arxiv.or…

Quantum Benchmarking via Random Dynamical Quantum Maps
We present a benchmarking protocol for universal quantum computers, achieved through the simulation of random dynamical quantum maps. This protocol provides a holistic assessment of system-wide error rates, encapsulating both gate inaccuracies and the errors associated with mid-circuit qubit measurements and resets. By employing random quantum circuits and segmenting mid-circuit qubit measurement and reset in a repeated fashion, we steer the system of qubits to an ensemble of steady-states. The…

This https://arxiv.org/abs/2308.14572 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Impact of non-Markovian quantum Brownian motion on quantum batteries
Recently, there has been an upsurge of interest in quantum thermodynamic devices, notably quantum batteries. Quantum batteries serve as energy storage devices governed by the rules of quantum thermodynamics. Here, we propose a model of a quantum battery wherein the system of interest can be envisaged as a battery, and the ambient environment acts as a charger (dissipation) mechanism, modeled along the ubiquitous quantum Brownian motion. We employ quantifiers like ergotropy and its (in)-coherent…

This https://arxiv.org/abs/2404.16156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Guardians of the Quantum GAN
Quantum Generative Adversarial Networks (qGANs) are at the forefront of image-generating quantum machine learning models. To accommodate the growing demand for Noisy Intermediate-Scale Quantum (NISQ) devices to train and infer quantum machine learning models, the number of third-party vendors offering quantum hardware as a service is expected to rise. This expansion introduces the risk of untrusted vendors potentially stealing proprietary information from the quantum machine learning models. To…

This https://arxiv.org/abs/2401.12395 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Hybrid Quantum Repeaters with Ensemble-based Quantum Memories and Single-spin Photon Transducers
Reliable quantum communication over hundreds of kilometers is a daunting yet necessary requirement for a quantum internet. To overcome photon loss, the deployment of quantum repeater stations between distant network nodes is necessary. A plethora of different quantum hardware is being developed for this purpose, each platform with its own opportunities and challenges. Here, we propose to combine two promising hardware platforms in a hybrid quantum repeater architecture to lower the cost and boo…