Limitations in Quantum Computing from Resource Constraints

Fellous-Asiani, Marco; Chai, Jing Hao; Whitney, Robert S.; Auffèves, Alexia; Ng, Hui Khoon

doi:10.1103/prxquantum.2.040335

Cited by 24 publications

(24 citation statements)

References 33 publications

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“…Ingenious QC schemes where energy is recycled from one computational step to the next have also been proposed [214]. Finally, constraints on the physical resources for quantum computation have been shown [215] to lead to a maximum probability that an error occurs in a physical gate or qubit that grows as the scale of the quantum computer grows. Energy minimization constraints are an obviously important resource that leads to such scale-dependent noise.…”

Section: Quantum Technologies For the Energy Sectormentioning

confidence: 99%

Materials and devices for fundamental quantum science and quantum technologies

Polini¹,

Giazotto²,

Fong³

et al. 2022

Preprint

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Technologies operating on the basis of quantum mechanical laws and resources such as phase coherence and entanglement are expected to revolutionize our future. Quantum technologies are often divided into four main pillars: computing, simulation, communication, and sensing & metrology. Moreover, a great deal of interest is currently also nucleating around energy-related quantum technologies. In this Perspective, we focus on advanced superconducting materials, van der Waals materials, and moiré quantum matter, summarizing recent exciting developments and highlighting a wealth of potential applications, ranging from high-energy experimental and theoretical physics to quantum materials science and energy storage.

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Section: Quantum Technologies For the Energy Sectormentioning

confidence: 99%

Materials and devices for fundamental quantum science and quantum technologies

Polini¹,

Giazotto²,

Fong³

et al. 2022

Preprint

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“…As for the QC hardware, the D'WAVE Advantage_system6.1 computer has been used, placed in Vancouver, Canada, counting on 5627 working qubits, and being accessed by the D'WAVE Leap service 4 .…”

Section: Analyzing the Behaviour Of The D'wave Quantum Annealermentioning

confidence: 99%

“…Today, two QC architectures coexist, gate-model and annealing-based quantum computers, which have been employed in the last few years for solving artificial intelligence problems. Nevertheless, QC is still in a budding stage of development, and current available QC computers (regardless of their architectures) suffer from some hardware limitations, such as noise and a restricted number of qubits, that critically affect the performance of quantum algorithms [4].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations

Villar-Rodríguez¹,

Osaba²,

Oregi³

2022

Preprint

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Despite being considered as the next frontier in computation, Quantum Computing is still in an early stage of development. Indeed, current commercial quantum computers suffer from some critical restraints, such as noisy processes and a limited amount of qubits, among others, that affect the performance of quantum algorithms. Despite these limitations, researchers have devoted much effort to propose different frameworks for efficiently using these Noisy Intermediate-Scale Quantum (NISQ) devices. One of these procedures is D'WAVE Systems' quantum-annealer, which can be use to solve optimization problems by translating them into an energy minimization problem. In this context, this work is focused on providing useful insights and information into the behaviour of the quantum-annealer when addressing real-world combinatorial optimization problems. Our main motivation with this study is to open some quantum computing frontiers to non-expert stakeholders. To this end, we perform an extensive experimentation, in the form of a parameter sensitive analysis. This experimentation has been conducted using the Traveling Salesman Problem as benchmarking problem, and adopting two QUBOs: state-of-the-art and a heuristically generated. Our analysis has been performed on a single 7-noded instance, and it is based on more than 200 different parameter configurations, comprising more than 3700 unitary runs and 7 million of quantum reads. Thanks to this study, findings related to the energy distribution and most appropriate parameter settings have been obtained. Finally, an additional study has been performed, aiming to determine the efficiency of the heuristically built QUBO in further TSP instances.

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“…Preparing large sets of qubits in a pre-specified pure state is of crucial importance for the achievement of powerful quantum computers [9,10,12,23]. This has led to the proposal and realisation of a number of "algorithmic cooling" techniques whereby an entangling unitary operating on many qubits being initially in a mixed state results in the purification of a subset thereof [3,13,19,26,27].…”

Section: Introductionmentioning

confidence: 99%

Cooperative quantum information erasure

Buffoni

Campisi

2023

Quantum

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We demonstrate an information erasure protocol that resets N qubits at once. The method displays exceptional performances in terms of energy cost (it operates nearly at Landauer energy cost kTln⁡2), time duration (∼μs) and erasure success rate (∼99,9%). The method departs from the standard algorithmic cooling paradigm by exploiting cooperative effects associated to the mechanism of spontaneous symmetry breaking which are amplified by quantum tunnelling phenomena. Such cooperative quantum erasure protocol is experimentally demonstrated on a commercial quantum annealer and could be readily applied in next generation hybrid gate-based/quantum-annealing quantum computers, for fast, effective, and energy efficient initialisation of quantum processing units.

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Limitations in Quantum Computing from Resource Constraints

Cited by 24 publications

References 33 publications

Materials and devices for fundamental quantum science and quantum technologies

Materials and devices for fundamental quantum science and quantum technologies

Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations

Cooperative quantum information erasure

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