116 citations · 288 across the 17 of their papers we have counts for
19 papers
Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization
Alejandro Gomez Cadavid, Pavle Nikačević, Pranav Chandarana +11
We report the largest trapped-ion hardware demonstration of lattice protein-folding optimization to date, using bias-field digitized counterdiabatic quantum optimization (BF-DCQO)…
The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers
Pranav Chandarana, Alejandro Gomez Cadavid, Enrique Solano +3
We perform an end-to-end benchmark of a hybrid sequential quantum computing (HSQC) solver for higher-order unconstrained binary optimization (HUBO), executed on IBM Heron r3 quantu…
Large-scale portfolio optimization on a trapped-ion quantum computer
Alejandro Gomez Cadavid, Ananth Kaushik, Pranav Chandarana +10
We present an end-to-end pipeline for large-scale portfolio selection with cardinality constraints and experimentally demonstrate it on trapped-ion quantum processors using hardwar…
Scaling advantage with quantum-enhanced memetic tabu search for LABS
Alejandro Gomez Cadavid, Pranav Chandarana, Sebastián V. Romero +4
We introduce quantum-enhanced memetic tabu search (QE-MTS), a non-variational hybrid algorithm that achieves state-of-the-art scaling for the low-autocorrelation binary sequence (L…
Digitized Counterdiabatic Quantum Sampling
Narendra N. Hegade, Nachiket L. Kortikar, Balaganchi A. Bhargava +9
We propose digitized counterdiabatic quantum sampling (DCQS), a hybrid quantum-classical algorithm for efficient sampling from energy-based models, such as low-temperature Boltzman…
Hybrid Sequential Quantum Computing
Pranav Chandarana, Sebastián V. Romero, Alejandro Gomez Cadavid +3
We introduce hybrid sequential quantum computing (HSQC), a paradigm for combinatorial optimization that systematically integrates classical and quantum methods within a structured,…
Runtime Quantum Advantage with Digital Quantum Optimization
Pranav Chandarana, Alejandro Gomez Cadavid, Sebastián V. Romero +3
We demonstrate experimentally that the bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm on IBM's 156-qubit devices can outperform simulated annealing (…
Digitized counterdiabatic quantum critical dynamics
Anne-Maria Visuri, Alejandro Gomez Cadavid, Balaganchi A. Bhargava +6
We experimentally demonstrate that a digitized counterdiabatic quantum protocol reduces the number of topological defects created during a fast quench across a quantum phase transi…
Symmetry-enhanced Counterdiabatic Quantum Algorithm for Qudits
Alberto Bottarelli, Mikel Garcia de Andoin, Pranav Chandarana +4
Qubit-based variational quantum algorithms have undergone rapid development in recent years but still face several challenges. In this context, we propose a symmetry-enhanced digit…
Lyapunov Controlled Counterdiabatic Quantum Optimization
Pranav Chandarana, Koushik Paul, Kasturi Ranjan Swain +2
We introduce a quantum algorithm integrating counterdiabatic (CD) protocols with quantum Lyapunov control (QLC) to tackle combinatorial optimization problems. This approach offers…
Quantum Chaos in Random Ising Networks
András Grabarits, Kasturi Ranjan Swain, Mahsa Seyed Heydari +3
We report a systematic investigation of universal quantum chaotic signatures in the transverse field Ising model on an Erdős-Rényi network. This is achieved by studying local spect…
Benchmarking hybrid digitized-counterdiabatic quantum optimization
Ruoqian Xu, Jialiang Tang, Pranav Chandarana +4
Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of near-term quantum computers, utilizing parameterized quantum ci…
Photonic counterdiabatic quantum optimization algorithm
Pranav Chandarana, Koushik Paul, Mikel Garcia-de-Andoin +3
We propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization probl…
Digitized-Counterdiabatic Quantum Algorithm for Protein Folding
Pranav Chandarana, Narendra N. Hegade, Iraitz Montalban +2
We propose a hybrid classical-quantum digitized-counterdiabatic algorithm to tackle the protein folding problem on a tetrahedral lattice. Digitized-counterdiabatic quantum computin…
Optimizing Counterdiabaticity by Variational Quantum Circuits
Dan Sun, Pranav Chandarana, Zi-Hua Xin +1
Utilizing counterdiabatic (CD) driving - aiming at suppression of diabatic transition - in digitized adiabatic evolution have garnered immense interest in quantum protocols and alg…
Meta-Learning Digitized-Counterdiabatic Quantum Optimization
Pranav Chandarana, Pablo S. Vieites, Narendra N. Hegade +3
Solving optimization tasks using variational quantum algorithms has emerged as a crucial application of the current noisy intermediate-scale quantum devices. However, these algorit…
Portfolio Optimization with Digitized-Counterdiabatic Quantum Algorithms
N. N. Hegade, P. Chandarana, K. Paul +3
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era. We apply this concept to…
Digitized-counterdiabatic quantum approximate optimization algorithm
P. Chandarana, N. N. Hegade, K. Paul +4
The quantum approximate optimization algorithm (QAOA) has proved to be an effective classical-quantum algorithm serving multiple purposes, from solving combinatorial optimization p…
Demonstration of quantum delayed-choice experiment on a quantum computer
Pranav D. Chandarana, Angela Anna Baiju, Sumit Mukherjee +3
Wave-particle duality of quantum objects is one of the most striking features of quantum physics and has been widely studied in past decades. Developments of quantum technologies e…