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VQEstands forVariational Quantum Eigensolver
Full Form of VQE
What is VQE?
Variational Quantum Eigensolver, commonly abbreviated as VQE, is a hybrid quantum-classical algorithm designed to find the ground state energy of a given Hamiltonian, most often applied to molecular and chemical systems. Introduced in 2014 by Alberto Peruzzo and his research team, it combines a quantum processor to prepare and measure parameterized quantum states with a classical optimizer that iteratively adjusts parameters to minimize the energy expectation value. In India, VQE has gained strong relevance following the launch of the National Quantum Mission in 2023, which funds quantum computing research at premier institutions including IISc Bangalore, IIT Madras, IIT Delhi, and TIFR Mumbai. The algorithm is taught in advanced courses on quantum chemistry, computational physics, and quantum machine learning offered across IITs, IISERs, and IIITs. VQE is particularly valuable because it tolerates noise and runs effectively on near-term quantum hardware, making it practical for the cloud-based quantum processors that Indian researchers currently access. The topic regularly appears in GATE, CSIR-NET, and PhD entrance examinations for physics and computer science. Indian researchers are actively using VQE to simulate drug molecules, catalysts, and novel materials, contributing meaningfully to pharmaceutical and clean energy research nationwide.
VQE का फुल फॉर्म
वेरिएशनल क्वांटम ईजनसॉल्वर
Example
Researchers at IIT Delhi are using the VQE algorithm on IBM's cloud quantum processor to simulate the electronic structure of small drug molecules relevant to tuberculosis research.
VQE — frequently asked questions
What is the full form of VQE?
VQE stands for Variational Quantum Eigensolver, a hybrid quantum-classical algorithm used to find the ground state energy of molecular systems.
Where is VQE used in India?
VQE is actively researched in India under the National Quantum Mission at institutions like IISc Bangalore, IIT Madras, IIT Delhi, and TIFR for simulating molecules and materials.
What is the difference between VQE and QAOA?
VQE is designed to find the ground state energy of quantum systems, while QAOA is used for solving combinatorial optimization problems, though both are variational quantum algorithms.