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Quantum processors are difficult to compare due to the different architectures and approaches. Due to this, published physical qubit numbers do not reflect the performance levels of the processor. This is instead achieved through the number of logical qubits or benchmarking metrics such as quantum volume , randomized benchmarking or circuit ...
For example, Microsoft is working on a computer based on the quantum properties of two-dimensional quasiparticles called anyons. [142] [143] [144] As part of this research, Microsoft unveiled Majorana 1 in February 2025, a quantum processor which leverages topological superconductors with potential Majorana zero modes.
As of 2023, superconducting computing is a form of cryogenic computing, as superconductive electronic circuits require cooling to cryogenic temperatures for operation, typically below 10 kelvin. Often superconducting computing is applied to quantum computing , with an important application known as superconducting quantum computing .
Therefore, the first five criteria ensure successful quantum computing, while the final two criteria allow for quantum communication. A scalable physical system with well characterized qubits. "Well characterized implies that that Hamiltonian function must be well-defined i.e. the energy eigenstates of the qubit should be able to be quantified..
Q|SI> is a platform embedded in .Net language supporting quantum programming in a quantum extension of while-language. [ 47 ] [ 56 ] This platform includes a compiler of the quantum while-language [ 57 ] and a chain of tools for the simulation of quantum computation, optimisation of quantum circuits, termination analysis of quantum programs ...
Processor Series nomenclature Code name Production date Features supported (instruction set) Clock rate Socket Fabri-cation TDP Cores (number) Bus speed Cache L1 Cache L2 Cache L3 Overclock capable 4004: N/A N/A 1971 - Nov 15 [clarification needed] N/A 740 kHz DIP 10-micron 2 N/A N/A N/A 8008: N/A N/A 1972 - April good [clarification needed] N ...
[1] [2] [3] Quantum simulators may be contrasted with generally programmable "digital" quantum computers, which would be capable of solving a wider class of quantum problems. A universal quantum simulator is a quantum computer proposed by Yuri Manin in 1980 [4] and Richard Feynman in 1982. [5]
typical thermal power, which is measured under normal load (for instance, AMD's average CPU power) maximum thermal power, which is measured under a worst-case load; For example, the Pentium 4 2.8 GHz has a 68.4 W typical thermal power and 85 W maximum thermal power. When the CPU is idle, it will draw far less than the typical thermal power.