39 citations · 146 across the 32 of their papers we have counts for
32 papers
Certifying Quantum Optimization and Circuit Cutting by Using Quantum-Classical Moment Duality
Ammar Daskin
We establish a direct quantum--classical duality based on the degree- Sum-of-Squares (SoS) semidefinite programming cone: the matrix of two-qubit Pauli- correlation functions…
Exploiting all ancilla outcomes in linear combinations of unitaries: low-rank recovery and quantum trapdoor functions
Ammar Daskin
The linear combination of unitaries (LCU) is a fundamental quantum algorithm primitive that embeds non-unitary operators via post-selection on an ancilla register. In standard LCU,…
Lowering LCU Circuit Width through Maximum-Weight Birkhoff-von Neumann Decomposition
Ammar Daskin
While classical Sinkhorn scaling applies to nonnegative matrices, we show that any complex square matrix whose element-wise absolute value has total support can be mapped to a phas…
Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
Ammar Daskin
Quantum machine learning models based on parameterized circuits can be viewed as Fourier series approximators. However, they often struggle to learn functions with multiple frequen…
Quantum Voting Protocol for Centralized and Distributed Voting Based on Phase-Flip Counting
Ali Emre Aydin, Ammar Daskin
We introduce a quantum voting protocol that uses superposition and entanglement to enable anonymous voting with trusted voting machines, in a centralized setting with a single mach…
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
Ammar Daskin
Schmidt decomposition of a vector can be understood as writing the singular value decomposition (SVD) in vector form. A vector can be written as a linear combination of tensor prod…