QTL unifies expectation-value minimization with CVaR and Gibbs heuristics under one tunable operator, amplifying gradients in structured cases while preserving global minima and shifting the bottleneck to measurement variance.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Structure-aware VQE ansatze for long-range Ising models cut required circuit layers by 2.5x to 3.8x in non-local regimes while two-qubit gate counts scale quadratically with system size, consistent with the number of Hamiltonian terms.
A specific family of random quantum circuits is introduced that resists classical simulation and avoids local variable concentration, proposed as seeds for continuous generative models to support NISQ-compatible quantum-classical hybrids.
citing papers explorer
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Quantum Tilted Loss in Variational Optimization: Theory and Applications
QTL unifies expectation-value minimization with CVaR and Gibbs heuristics under one tunable operator, amplifying gradients in structured cases while preserving global minima and shifting the bottleneck to measurement variance.
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Scaling of Quantum Resources for Simulating a Long-Range System
Structure-aware VQE ansatze for long-range Ising models cut required circuit layers by 2.5x to 3.8x in non-local regimes while two-qubit gate counts scale quadratically with system size, consistent with the number of Hamiltonian terms.
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Random Quantum Circuits as Seeds for Continuous Generative Models
A specific family of random quantum circuits is introduced that resists classical simulation and avoids local variable concentration, proposed as seeds for continuous generative models to support NISQ-compatible quantum-classical hybrids.