114 citations · 267 across the 11 of their papers we have counts for
11 papers
Quantum State Certification via Effective Parent Hamiltonians from Local Measurement Data
Guy-Philippe Nadon, Guanyi Heng, Pacôme Gasnier +8
The preparation and certification of quantum states is a fundamental challenge across quantum information technology. We introduce a tomography-free state certification method that…
Quantum-Inspired Self-Attention in a Large Language Model
Nikita Kuznetsov, Niyaz Ismagilov, Ernesto Campos
Recent advances in Natural Language Processing have been predominantly driven by transformer-based architectures, which rely heavily on self-attention mechanisms to model relations…
Problem specific ion native ansatz for combinatorial optimization
Georgii Paradezhenko, Daniil Rabinovich, Ernesto Campos +1
Variational quantum algorithms have become a standard approach for solving a wide range of problems on near-term quantum computers. Identifying an appropriate ansatz configuration…
Depth scaling of unstructured search via quantum approximate optimization
Ernesto Campos, Daniil Rabinovich, Alexey Uvarov
Variational quantum algorithms have become the de facto model for current quantum computations. A prominent example of such algorithms -- the quantum approximate optimization algor…
Robustness of Variational Quantum Algorithms against stochastic parameter perturbation
Daniil Rabinovich, Ernesto Campos, Soumik Adhikary +3
Variational quantum algorithms are tailored to perform within the constraints of current quantum devices, yet they are limited by performance-degrading errors. In this study, we co…
Ion native variational ansatz for quantum approximate optimization
Daniil Rabinovich, Soumik Adhikary, Ernesto Campos +6
Variational quantum algorithms involve training parameterized quantum circuits using a classical co-processor. An important variational algorithm, designed for combinatorial optimi…
On Circuit Depth Scaling For Quantum Approximate Optimization
V. Akshay, H. Philathong, E. Campos +4
Variational quantum algorithms are the centerpiece of modern quantum programming. These algorithms involve training parameterized quantum circuits using a classical co-processor, a…
Progress towards analytically optimal angles in quantum approximate optimisation
D. Rabinovich, R. Sengupta, E. Campos +2
The Quantum Approximate Optimisation Algorithm is a layer, time-variable split operator method executed on a quantum processor and driven to convergence by classical outer loop…
Training Saturation in Layerwise Quantum Approximate Optimisation
E. Campos, D. Rabinovich, V. Akshay +1
Quantum Approximate Optimisation (QAOA) is the most studied gate based variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap with an qubit…
Parameter Concentration in Quantum Approximate Optimization
V. Akshay, D. Rabinovich, E. Campos +1
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. In QAOA, a quantum circuit is trained -- by repeate…
Abrupt Transitions in Variational Quantum Circuit Training
Ernesto Campos, Aly Nasrallah, Jacob Biamonte
Variational quantum algorithms dominate gate-based applications of modern quantum processors. The so called, {\it layer-wise trainability conjecture} appears in various works throu…