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A Subspace-Search Variational Quantum Eigensolver (SSVQE) framework implemented with TensorFlow Quantum and Cirq, designed to compute ground and excited states of quantum systems. This project features modular quantum circuit design, parameter-shift differentiation, and multi-circuit training for optimizing Hamiltonian eigenvalues.

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LICENSE		LICENSE
README.md		README.md
ssvqe.py		ssvqe.py

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Variational-Quantum-Eigensolver

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A Subspace-Search Variational Quantum Eigensolver (SSVQE) framework implemented with TensorFlow Quantum and Cirq, designed to compute ground and excited states of quantum systems. This project features modular quantum circuit design, parameter-shift differentiation, and multi-circuit training for optimizing Hamiltonian eigenvalues.

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