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Qiskit is made of elements that work together to enable quantum computing. The central goal of Qiskit is to build a software stack that makes it easier for anyone to use quantum computers, regardless of their skill level or area of interest; Qiskit allows users to design experiments and applications and run them on real quantum computers and/or classical simulators.
Cirq was developed by the Google AI Quantum Team, and the public alpha was announced at the International Workshop on Quantum Software and Quantum Machine Learning on July 18, 2018. [2] A demo by QC Ware showed an implementation of QAOA solving an example of the maximum cut problem being solved on a Cirq simulator.
Quantum chemistry computer programs are used in computational chemistry to implement the methods of quantum chemistry. Most include the Hartree–Fock (HF) and some post-Hartree–Fock methods. They may also include density functional theory (DFT), molecular mechanics or semi-empirical quantum chemistry methods.
Comprehensive life science modeling and simulation suite of applications focused on optimizing drug discovery process: small molecule simulations, QM-MM, pharmacophore modeling, QSAR, protein-ligand docking, protein homology modeling, sequence analysis, protein-protein docking, antibody modeling, etc.
QuTiP, short for the Quantum Toolbox in Python, is an open-source computational physics software library for simulating quantum systems, particularly open quantum systems. [1] [2] QuTiP allows simulation of Hamiltonians with arbitrary time-dependence, allowing simulation of situations of interest in quantum optics, ion trapping, superconducting circuits and quantum nanomechanical resonators.
The service was launched in May 2016 as the IBM Quantum Experience [1] with a five-qubit quantum processor and matching simulator connected in a star shaped pattern. At this time, users could only interact with the hardware through the quantum composer GUI. Quantum circuits were also limited to the specific two-qubit gates available on the ...
Java 3D applet or standalone program: Ovito: MM XRD EM MD: Free open-source: Python [13] [14] PyMOL: MM XRD SMI EM: Open-source [15] Python [16] [self-published source?] According to the author, almost 1/4 of all published images of 3D protein structures in the scientific literature were made via PyMOL. [citation needed] RasMol: Free open ...
The Quantum Development Kit includes a quantum simulator capable of running Q# and simulated 30 logical qubits. [17] [18] In order to invoke the quantum simulator, another .NET programming language, usually C#, is used, which provides the (classical) input data for the simulator and reads the (classical) output data from the simulator. [19]