Quantum Computation

Unofficial implementations of various papers and algorithms using various tools such as Cirq, TensorFlow-Quantum, Pennylane, etc. If you use this code or base your code on it, cite it using the following:

Implemented Algorithms

Code for different Quantum Computing and Quantum Machine Learing. All of the following ones have a video discussion on: https://www.youtube.com/channel/UC0U0HDNbdh0aI-9FbpYhPgg

TensorFlow-Quantum (TFQ) and Cirq

Currently includes:

• Single Qubit Classifier

• Solving XOR with QML

• Replicating Reinforcement learning with quantum variational circuits

• Quantum Approximate Optimization Algorithm (QAOA) in TFQ

• Variational Quantum Eigensolver (VQE) in TFQ: include 1 and 2 qubit hamiltonians and replication of Scalable Quantum Simulation of Molecular Energies

• Rotosolve Optimizer for VQEs in TFQ: from Structure optimization for parameterized quantum circuits

• VQE for arbitrarily many qubits in Cirq

• Custom ParameterShift and Adam optimization comparison with TFQ

• Arbitrary Qubit VQE in TFQ

• SSVQE for excited states in TFQ

• QOSF Application Problems:

  • Swap Test in Cirq

  • Simple Quantum Error Correction in Cirq

  • Quantum Simulator from Scratch

  • Weighted MaxCut QAOA in Cirq

• Barren Plateaus in TFQ

• Variational Quantum Classifiers/Regressors in TFQ for Circles, Moons, Blobs and Boston Housing

• Data Re-Uploading Custom Layer (and VQC comparisons)

• Replication of Variational quantum policies for reinforcement learning

• Replication of Quantum-assisted quantum compiling

• Replication of One qubit as a Universal Approximant

• Code for Playing Atari with Hybrid Quantum-Classical Reinforcement Learning

• Quantum Autoencoders using TFQ and TFQ datasets

• Noise resilience of variational quantum circuits in TFQ

• Noisy VQE for Molecular Hamiltonians in TFQ

• Adapt-VQE in TFQ

• ADAPT-QAOA in TFQ

• Trotterization with TFQ

• Generalization Bounds of QML Analysis in TFQ

• Noise can be helpful in VQAs for saddle points in TFQ

Pennylane

Code for Pennylane experiments (largely from the QHack hackathon). Problems here: https://challenge.qhack.ai/team/problems.

• Simple Circuits (20, 30, 50)

• Quantum Gradients (100, 200, 500)

• Circuit Training (100, 200, 500)

• Variational Quantum Eigensolvers (100, 200, 500)

Other

• OpenQAOA Intro Code

• OpenQAOA parameter concentration and warm starting

Classic Algorithms

• Quantum Teleportation

• Deutsch–Jozsa Algorithm

• Grover's Algorithm

• Simon's Algorithm