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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.

RunCite
Framework
Qiskit
Qubits
4
Depth
10
Gate set
RY, RZ, CX
Licence
Apache-2.0
Version
v1
Updated
24 hours ago
Runs
None completed

Circuit

circuit.py · Qiskit · depth 10
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qubithub.toml · 322 B

Code

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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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