This work presents a comparative structural analysis of major ansatz paradigms from the perspective of constrained variational manifold engineering and examines how each construction strategy encodes physical symmetries, balances expressibility and trainability, scales in parameter and measurement complexity, and responds to noise and hardware-induced constraints.
The numerical simulations demonstrate the potential of QEVO to design drug-like molecules with anticancer properties, operating in combinatorial spaces composed of up to up to [Formula: see text] solutions, while employing a shallow quantum circuit that requires only a modest number of qubits.
F. Calcagno, Delmar G. A. Cabral, Ivan Rivalta et al.· Proceedings of the National...· 0 citations
Recent advances in neural quantum states application to condensed-matter systems are reviewed, focusing on frustrated quantum magnets, interacting lattice fermions, and non-equilibrium dynamics.
J. Rigo, B. J. Wurst, R. Nutakki et al.· 0 citations
It is suggested that the VQE–HF energy gap encodes physically transferable information about correlation-energy saturation, and that even the smallest training set can produce practically useful corrections for near-term quantum chemistry.
Kantipudi Charan Sai Sree, Vijayalakshmi Shankar· ACS Omega· 0 citations
The results indicate that symmetry compilation concentrates the expressive power of NQS on states relevant to the target problem, thereby reducing model size and training cost without sacrificing accuracy.
Turbasu Chatterjee, Manas Sajjan, Songbo Xie et al.· 0 citations
We benchmark eight classical optimizers for exact-statevector VQE calculations on a controlled hierarchy of frustrated spin models, ranging from a diagonal Ising glass to transverse-field Ising and anisotropic Heisenberg models. The benchmark includes local, stochastic-gradient, evolutionary, covariance-adaptation, and...
Vojtěch Novák, Ivan Zelinka, Swagatam Das et al.· 2 citations
Hamiltonian truncation offers a nonperturbative route to quantum field theory, yet its accuracy is limited by the rapid expansion of the truncated Hilbert space, which drives up computational cost. We tackle this bottleneck with a hybrid strategy that pairs classical and quantum algorithms: 1) we develop an efficient b...
R. Houtz, M. Knipfer, K. Matchev et al.· 1 citation
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