vqe

YSDA course in Speech Processing.

Tutorials for Quantum Algorithms with Qiskit implementations.

Open-source quantum Agent workspace with a desktop client, Web UI, messaging, Qiskit/MCP tools, and scientific validation

A docker container for quantum machine learning (QML) research

A module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.

Variational Quantum Eigensolver with Fewer Qubits

Tutorial on Variational Quantum Eigensolver (VQE). Originally created for QOSF Mentorship Screening Task Submission (Task 4, batch 2020).

A General Quantum Software

Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.

Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules

Portfolio Optimization on a Quantum computer.

I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.

quantum chemistry

A Python module for executing and monitoring quantum algorithms across local simulators and IBM Quantum platforms. Seamlessly handles data collection, organization, and streaming to Apache Kafka.

High-performance quantum computing in pure Rust + WebAssembly: state-vector circuit simulator with SIMD & noise models, VQE, Grover, QAOA, surface-code error correction, and real-time coherence via dynamic min-cut.

QAOA is one of the flavors of VQA, and it is considered to assert so-called "Quantum Supremacy". I have implemented a Quantum circuit to solve Max-Cut problem. I have written a report of my work.

Acoustic echo cancellation filters

Verified quantum computing in Lean 4 with FFI bridge to Apple Silicon (Metal 3). Full NISQ stack, dependent types, formal circuit verification, and mathematical translators to Hamiltonians for autonomous AI.

This project is a qiskit implementation of VQE, SSVQE, Weighted-SSVQE for all k excited states, Weighted-SSVQE for the k-th excited state.

Submission for IBM Quantum's Open Science Prize 2022