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Both, traditional quantum computing and neuromorphic quantum computing are physics-based unconventional computing approaches to computations and do not follow the von Neumann architecture. They both construct a system (a circuit) that represents the physical problem at hand and then leverage their respective physics properties of the system to ...
Architecture Layout Fidelity (%) Qubits (physical) Release date Quantum volume Alpine Quantum Technologies PINE System [2] Trapped ion: 24 [3] June 7, 2021: 128 [4] Atom Computing Phoenix Neutral atoms in optical lattices: 100 [5] August 10, 2021: Atom Computing N/A Neutral atoms in optical lattices: 35×35 lattice (with 45 vacancies) < 99.5 (2 ...
Forest by Rigetti Computing, which consists of a tool suite for quantum computing. It includes a programming language, [13] development tools and example algorithms. LIQUi> by Microsoft, which is a software architecture and tool suite for quantum computing. It includes a programming language, example optimization and scheduling algorithms, and ...
Quil is a quantum instruction set architecture that first introduced a shared quantum/classical memory model. It was introduced by Robert Smith, Michael Curtis, and William Zeng in A Practical Quantum Instruction Set Architecture. [1]
The sector's leading industry giants, like Google, IBM and Baidu, are using superconducting quantum computing and transmon qubits to make leaps and bounds in the area of quantum computing. In August 2022, Baidu released its plans to build a fully integrated top to bottom quantum computer which incorporated superconducting qubits.
Beyond quantum computing, the term "quantum machine learning" is also associated with classical machine learning methods applied to data generated from quantum experiments (i.e. machine learning of quantum systems), such as learning the phase transitions of a quantum system [18] [19] or creating new quantum experiments. [20] [21] [22]
This intermediate-scale is defined by the quantum volume, which is based on the moderate number of qubits and gate fidelity. The term NISQ was coined by John Preskill in 2018. [6] [2] According to Microsoft Azure Quantum's scheme, NISQ computation is considered level 1, the lowest of the quantum computing implementation levels. [7] [8]
In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation. [ 1 ] [ 2 ] A classical (or non-quantum) algorithm is a finite sequence of instructions, or a step-by-step procedure for solving a problem, where each step ...