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Q3mini

Guides

  • Fermionic Quantum Computation
  • Q3: Symbolic Quantum Simulation
  • Quantum Information Systems
  • Quantum Many-Body Systems
  • Quantum Spin Systems

Tech Notes

  • About Q3
  • Q3: Quick Start
  • Quantum Fourier Transform
  • Quantum Information Systems with Q3
  • Quantum Many-Body Systems with Q3
  • Quantum Operations
  • Quantum Spin Systems with Q3
  • Quantum States
  • Quantum Teleportation
  • Quick Quantum Computing with Q3

Symbols

  • Basis
  • Boson
  • Bra
  • CNOT
  • ControlledGate
  • ExpressionFor
  • Fermion
  • Heisenberg
  • Ket
  • Let
  • Majorana
  • Matrix
  • Multiply
  • NambuGreen
  • NambuHermitian
  • NambuMatrix
  • NambuUnitary
  • Pauli
  • Phase
  • QuantumCircuit
  • Qubit
  • Qudit
  • RandomWickCircuitSimulate
  • Rotation
  • Species
  • Spin
  • SWAP
  • WickCircuit
  • WickEntanglementEntropy
  • WickEntropy
  • WickGreenFunction
  • WickJump
  • WickLindbladSolve
  • WickLogarithmicNegativity
  • WickMeasurement
  • WickMonitor
  • WickMutualInformation
  • WickNonunitary
  • WickSimulate
  • WickState
  • WickUnitary

Overviews

  • The Postulates of Quantum Mechanics
  • Quantum Algorithms
  • Quantum Computation: Models
  • Quantum Computation: Overview
  • Quantum Error-Correction Codes
  • Quantum Information Theory
  • Quantum Noise and Decoherence

Quantum Computation: Models

Documentation "
Quantum Computation: Overview
" explains how quantum computation works under the assumption that elementary quantum logic gates are available. But how can one build a quantum computer, a machine, that allows such quantum logic gates? Quantum computers are physical systems and the implementation of all quantum logic gates is governed by the laws of physics. In this documentation, we discuss the basic physical principles that are directly involved in the implementation of quantum logic gates. Through the course of the discussion, we will find some basic conditions and requirements that one has to fulfill to build a quantum computer.
By now, there are many quantum computer architectures that have not only been proposed and tested at the research level but are also actually running. However, understanding each architecture requires a certain level of knowledge regarding the physical systems. For example, to understand a quantum computer based on superconducting circuits, one has to first understand the superconductivity, Josephson effect, flux quantization, Josephson inductance, and the interaction of superconducting circuits with electromagnetic fields. Such discussions often hinder access to the essential part of the operating principle of a quantum computer, and are beyond the scope of this documentation.
Here, we consider an idealistic and minimal quantum system that is suitable for quantum computation, and we discuss how to control it to implement the desired quantum logic gates. It is certainly impractical, yet it will highlight the key requirements when one wants to actually develop a quantum computer based on practical devices. Through the discussions, we will indicate how the relevant parts are related to actual quantum computer architectures.
See also Chapter 3 of the
Quantum Workbook (2022)
.
Quantum Bits
DiVincenzo Criteria
Idealistic Hamiltonian for Qubits
Dynamical Scheme
Implementation of Single-Qubit Gates
Implementation of CNOT Gate
Quantum Adiabatic Scheme
XXXXX
XXXXX
Geometrical and Topological Schemes
A Toy Model
Geometric Phase
Measurement-Based Scheme
Elementary Building Block
Single-Qubit Rotations
CNOT Gate
Graph States
RelatedGuides
▪
Quantum Information Systems
RelatedTechNotes
▪
Quantum Computation: Overview
▪
Quantum Information Systems with Q3
▪
Quick Quantum Computing with Q3
RelatedLinks
▪
M. Nielsen and I. L. Chuang (2022)
, Quantum Computation and Quantum Information (Cambridge University Press).
▪
Mahn-Soo Choi (2022)
, A Quantum Computation Workbook (Springer).
""

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