An Introduction to Quantum Computing, Without the Physics
This paper is a gentle but rigorous introduction to quantum computing intended for discrete mathematicians. Starting from a small set of assumptions on the behavior of quantum computing devices, we analyze their main characteristics, stressing the differences with classical computers, and finally describe two well-known algorithms (Simon's algorithm and Grover's algorithm) using the formalism deve
Lucid 10-Inch Gel Memory Foam Mattress Review 2021 - 33rd Square
The Lucid 10-Inch Gel Memory Foam Mattress combines all the support and body-contouring comfort of a memory foam mattress with the light, soft, airiness of a gel mattress. Between a unique cover made of a Tencel blend and a gel-infused middle layer of memory foam, the engineers and designers at Lucid have solved the age-old problem of “sleeping hot” on a memory foam mattress by coming at the issue
Scientists Are Defining Quantum-Computing Terms Because Everyone Is Confused
Scientists Are Defining Quantum-Computing Terms Because Everyone Is Confused One person’s trapped ion is another’s electrostatically defined quantum dot. I’m talking about qubits, by the way—the quantum-computing equivalent of the bits in regular computers. But if you don’t quite follow, don’t worry: you’re far from being alone. “Confusions exist on what quantum computing or a quantum computer mea
Heavy Tails in the Distribution of Time to Solution for Classical and Quantum Annealing
For many optimization algorithms the time to solution depends not only on the problem size but also on the specific problem instance and may vary by many orders of magnitude. It is then necessary to investigate the full distribution and especially its tail. Here, we analyze the distributions of annealing times for simulated annealing and simulated quantum annealing (by path integral quantum Monte
Quantum Speedup by Quantum Annealing
We study the glued-trees problem of Childs et. al. in the adiabatic model of quantum computing and provide an annealing schedule to solve an oracular problem exponentially faster than classically possible. The Hamiltonians involved in the quantum annealing do not suffer from the so-called sign problem. Unlike the typical scenario, our schedule is efficient even though the minimum energy gap of the
Program of Adiabatic Quantum Computing Conference 2017
Inivited Speaker 40min includng discussion Contributed talk 20min including discussion 9:00
Quantum Annealing
Quantum annealing is a quantum-mechanical metaheuristic (generic and approximate method) to solve combinatorial optimization and sampling problems. It was proposed by Kadowaki and Nishimori in 1998 in the form now widely used. Many problems of practical importance can be formulated as combinatorial optimization, and the development of efficient methods to solve combinatorial optimization problems
Quantum Computing via Quantum Annealing
Canadian-Japanese Scientific & Cultural Exchange Meeting 日本・カナダ学術文化交流会議 Quantum Computing via Quantum Annealing 量子アニーリングによる量子コンピューティング at The Embassy of Canada to Japan May 31, 2016 2016年5月31日カナダ大使館にて Conference introduction and Schedule . 趣旨説明 および プログラム Click here for registration. Enter the number of participants and click "Checkout Now". No fee. 参加登録は こちら 。参加者数を選び Checkout Now をクリックしてく
A Quantum Annealing Approach for Fault Detection and Diagnosis of Graph-Based Systems
Diagnosing the minimal set of faults capable of explaining a set of given observations, e.g., from sensor readouts, is a hard combinatorial optimization problem usually tackled with artificial intelligence techniques. We present the mapping of this combinatorial problem to quadratic unconstrained binary optimization (QUBO), and the experimental results of instances embedded onto a quantum annealin
Quantum annealing with manufactured spins - Nature
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量子コンピューティング活用支援 - 株式会社フィックスターズ
概要 量子コンピュータの活用と普及により、これまで計算量や複雑さの観点で取り組むことが難しかった問題を解決し、より利便性の高い豊かな社会の実現が期待されています。 商用利用と社会実装が先行する、量子アニーリング・イジングマシンが活用できる「組合せ最適化問題」の領域で、研究開発から実践的な実務応用まで幅広いご支援が可能です。 フィックスターズでは、マルチコアのCPU/GPU/FPGAなど多様なハードウェアでのソフトウェア高速化サービスに加えて、量子コンピューティング活用支援サービスを提供しています。 量子コンピューティングの活用が期待されている分野 物流 最短で回れる配送ルートの算出や、人員配置の予実管理の最適化 製造 人員配置の予実管理の最適化 交通 渋滞回避のためのルートの算出 通信 各基地局の帯域の重複率を最小限にするパラメータの算出 産業 工場のスマート化 創薬 分子類似性検索 金融
Exponential Enhancement of the Efficiency of Quantum Annealing by Non-Stochastic Hamiltonians
Non-stoquastic Hamiltonians have both positive and negative signs in off-diagonal elements in their matrix representation in the standard computational basis and thus cannot be simulated efficiently by the standard quantum Monte Carlo method due to the sign problem. We describe our analytical studies of this type of Hamiltonians with infinite-range non-random as well as random interactions from th
Corporate Japan taking leap into quantum computing
TechnologyCorporate Japan taking leap into quantum computingTraffic control, materials design among the promising applications Germany's Volkswagen researched traffic flow optimization on a quantum computer of Canada's D-Wave Systems. TOKYO -- Japanese manufacturers are applying ultrafast quantum computing to product and service development, with autoparts maker Denso aiming to unclog traffic and
Quantum Annealing in the Transverse Ising Model
View PDF Abstract: We introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence to the optimal state. Quantum fluctuations cause transitions between states and thus play the same role as thermal fluctuations in the conventional approach. The idea is tested by the transverse Ising model, in which the transverse field is a function of
Application of Quantum Annealing to Training of Deep Neural Networks
In Deep Learning, a well-known approach for training a Deep Neural Network starts by training a generative Deep Belief Network model, typically using Contrastive Divergence (CD), then fine-tuning the weights using backpropagation or other discriminative techniques. However, the generative training can be time-consuming due to the slow mixing of Gibbs sampling. We investigated an alternative approa
Universal Quantum Computing with Measurement-Induced Continuous-Variable Gate Sequence in a Loop-Based Architecture
We propose a scalable scheme for optical quantum computing using measurement-induced continuous-variable quantum gates in a loop-based architecture. Here, time-bin-encoded quantum information in a single spatial mode is deterministically processed in a nested loop by an electrically programmable gate sequence. This architecture can process any input state and an arbitrary number of modes with almo
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2013年に米グーグルとNASA（米航空宇宙局）が共同設立した「量子人工知能研究所（Quantum Artificial Intelligence Lab）」 - QuAIL Home
GitHub - Qiskit/qiskit: Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Microsoft just upped its multi-million bet on quantum computing
Amazon.co.jp: :
