Quantum simulator
[12] Better computational tools are needed to understand and rationally design materials whose properties are believed to depend on the collective quantum behavior of hundreds of particles.It has passed a series of important benchmarking tests that indicate a capability to solve problems in material science that are impossible to model on conventional computers.The trapped-ion simulator consists of a tiny, single-plane crystal of hundreds of beryllium ions, less than 1 millimeter in diameter, hovering inside a device called a Penning trap.Carefully timed microwave and laser pulses then caused the qubits to interact, mimicking the quantum behavior of materials otherwise very difficult to study in the laboratory.[20] Kim et al., extended the trapped ion quantum simulator to 3 spins, with global antiferromagnetic Ising interactions featuring frustration and showing the link between frustration and entanglement[21] and Islam et al., used adiabatic quantum simulation to demonstrate the sharpening of a phase transition between paramagnetic and ferromagnetic ordering as the number of spins increased from 2 to 9.Major aims of these experiments include identifying low-temperature phases or tracking out-of-equilibrium dynamics for various models, problems which are theoretically and numerically intractable.[35] Several important recent results include the realization of a Mott insulator in a driven-dissipative Bose-Hubbard system and studies of phase transitions in lattices of superconducting resonators coupled to qubits.
are fluorescinglatticequantum systemphysicsquantum computersquantum computerYuri ManinRichard FeynmanTuring machinequantum Turing machineuniversal quantum computercomputability theorycomplexity classesquantum supremacyquantum bitsultracold quantum gaseslow-temperature physicsmany-body physicsquantum mechanicsquantum behaviorsuperpositionquantum particleentanglementIon traptrapped-ionberyllium ionsPenning trapelectronlaser pulseslattice spacingphase transitionultracold atombosonsfermionsoptical latticesRydberg atomoptical tweezersHubbardtransverse-field IsingHaldane modelHarper-Hofstadter modelquantum annealersadiabatic quantum computingquantum phase transitionsMott insulatorBose-Hubbard systemHamiltonian simulationQuantum computingpublic domain materialNational Institute of Standards and TechnologyBibcodeFeynman, RichardCiteSeerXEdwards, E. E.Edwards, E.E.Quantum information scienceDiVincenzo's criteriaNISQ eratimelineQuantum informationQuantum programmingphysical vs. logicalQuantum processorscloud-basedBell'sEastin–KnillGleason'sGottesman–KnillHolevo'sNo-broadcastingNo-cloningNo-communicationNo-deletingNo-hidingNo-teleportationQuantum speed limitThresholdSolovay–KitaevPurificationClassical capacityentanglement-assistedquantum capacityEntanglement distillationMonogamy of entanglementQuantum channelquantum networkQuantum teleportationquantum gate teleportationSuperdense codingQuantum cryptographyPost-quantum cryptographyQuantum coin flippingQuantum moneyQuantum key distributionSARG04other protocolsQuantum secret sharingQuantum algorithmsAmplitude amplificationBernstein–VaziraniBoson samplingDeutsch–JozsaGrover'sHidden subgroupQuantum annealingQuantum countingQuantum Fourier transformQuantum optimizationQuantum phase estimationShor'sSimon'sQuantumcomplexity theoryPostBQPQuantum volumeRandomized benchmarkingRelaxation timescomputing modelsAdiabatic quantum computationContinuous-variable quantum informationOne-way quantum computercluster stateQuantum circuitquantum logic gateQuantum machine learningquantum neural networkTopological quantum computer