qubithubssvqe

Simultaneously optimizes for multiple eigenstates using a weighted cost function and orthogonality constraints. Each state gets an independent ansatz, and descending weights naturally sort states by energy. Applied to the 4-qubit Transverse Field Ising Model.

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Framework: Qiskit
Qubits: 4
Depth: 18
Gate set: RY, RZ, CX
Licence: Not specified
Version: v1
Updated: 3 days ago
Last run: 3 months ago

Circuit

circuit.py · Qiskit · depth 18

5 runs

Status	Backend	Shots	Wall time
Completed	Simulator aer_simulator	1024	19.2 s
Completed	Simulator qiskit_aer	1024	16.0 s
Completed	Simulator qiskit_aer	1024	5.1 s
Completed	Simulator qiskit_aer	1024	5.5 s
Completed	Simulator qiskit_aer	1024	5.9 s

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Suggested citation

@software{qubithub_ssvqe_2026,
  author = {QubitHub Circuits},
  title = {SSVQE Algorithm},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/ssvqe},
}

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Suggested citation