activity
20102015
most citedDecomposition of Unitary Matrices for Finding Quantum Circuits: Application to Molecular Hamiltonians

59 citations · 226 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CE2015

Quantum IsoRank: Efficient Alignment of Multiple PPI Networks

Anmer Daskin

Comparative analyses of protein-protein interaction networks play important roles in the understanding of biological processes. However, the growing enormity of available data on t…

quant-ph2015

Quantum Eigenvalue Estimation for Irreducible Non-negative Matrices

Anmer Daskin

Quantum phase estimation algorithm has been successfully adapted as a sub frame of many other algorithms applied to a wide variety of applications in different fields. However, the…

quant-ph2014★ 4 cited

Quantum Random State Generation with Predefined Entanglement Constraint

Anmer Daskin, Ananth Grama, Sabre Kais

Entanglement plays an important role in quantum communication, algorithms, and error correction. Schmidt coefficients are correlated to the eigenvalues of the reduced density matri…

quant-ph2013★ 8 cited

Multiple Network Alignment on Quantum Computers

Anmer Daskin, Ananth Grama, Sabre Kais

Comparative analyses of graph structured datasets underly diverse problems. Examples of these problems include identification of conserved functional components (biochemical intera…

quant-ph2013

Reducing the number of ancilla qubits and the gate count required for creating large controlled operations

Katherine L. Brown, Anmer Daskin, Sabre Kais +1

In this paper we show that it is possible to adapt a qudit scheme for creating a controlled-Toffoli created by Ralph et al. [Phys. Rev. A 75 011213] to be applicable to qubits. Whi…

quant-ph2013★ 25 cited

A Universal Quantum Circuit Scheme For Finding Complex Eigenvalues

Anmer Daskin, Ananth Grama, Sabre Kais

We present a general quantum circuit design for finding eigenvalues of non-unitary matrices on quantum computers using the iterative phase estimation algorithm. In particular, we s…