Dog̃a Murat Kürkçüog̃lu

ORCID: 0000-0003-1109-7074
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About
Contact & Profiles
Research Areas
  • Quantum Computing Algorithms and Architecture
  • Cold Atom Physics and Bose-Einstein Condensates
  • Quantum Information and Cryptography
  • Quantum, superfluid, helium dynamics
  • Quantum and electron transport phenomena
  • Quantum Mechanics and Applications
  • Quantum many-body systems
  • Quantum optics and atomic interactions
  • Atomic and Subatomic Physics Research
  • Physics of Superconductivity and Magnetism
  • Electronic and Structural Properties of Oxides
  • Machine Learning in Materials Science
  • Optical Network Technologies
  • Neural Networks and Reservoir Computing
  • Semiconductor Quantum Structures and Devices
  • Matrix Theory and Algorithms
  • Dark Matter and Cosmic Phenomena
  • Numerical Methods and Algorithms
  • Superconducting and THz Device Technology
  • Ferroelectric and Negative Capacitance Devices
  • Radio Astronomy Observations and Technology
  • Advanced Semiconductor Detectors and Materials
  • Pulsars and Gravitational Waves Research
  • Neural Networks and Applications
  • Face and Expression Recognition

Fermi National Accelerator Laboratory
2021-2025

Princeton University
2021

Tibbar Plasma Technologies (United States)
2021

General Atomics (United States)
2021

Los Alamos National Laboratory
2021

Georgia Southern University
2018-2019

Georgia Institute of Technology
2016-2018

Yuri Alexeev Maximilian Amsler Marco Antonio Barroca Sanzio Bassini Torey Battelle and 95 more Daan Camps David Casanova Young Jay Choi Frederic T. Chong Charles Chung C.F. Codella Antonio Córcoles James Cruise Alberto Di Meglio I. Ďuran Thomas Eckl Sophia E. Economou Stephan Eidenbenz Bruce G. Elmegreen Clyde Fare Ismael Faro Cristina Sanz Fernández Rodrigo Neumann Barros Ferreira Keisuke Fuji Bryce Fuller Laura Gagliardi Giulia Galli Jennifer R. Glick Isacco Gobbi Pranav Gokhale Salvador de la Puente Gonzalez Johannes Greiner William Gropp Michele Grossi Emanuel Gull Burns Healy Matthew R. Hermes Benchen Huang Travis S. Humble Nobuyasu Ito Artur F. Izmaylov Ali Javadi-Abhari Douglas M. Jennewein Shantenu Jha Liang Jiang Barbara Jones Wibe A. de Jong Petar Jurcevic William Kirby Stefan Kister Masahiro Kitagawa Joel Klassen Katherine Klymko Kwangwon Koh Masaaki Kondo Dog̃a Murat Kürkçüog̃lu Krzysztof Kurowski Teodoro Laino Ryan Landfield Matt Leininger Vicente Leyton‐Ortega Ang Li Meifeng Lin Junyu Liu Nicolás Lorente André Luckow Simon Martiel Francisco Martín-Fernández Margaret Martonosi Claire Marvinney Arcesio Castaneda Medina Dirk Merten Antonio Mezzacapo Kristel Michielsen Abhishek Mitra Tushar Mittal Kyungsun Moon Joel E. Moore Sarah Mostame Mário Motta Young-Hye Na Yunseong Nam Prineha Narang Yu‐ya Ohnishi Diego Ottaviani Matthew Otten Scott Pakin V. R. Pascuzzi Edwin Pednault Tomasz Piontek Jed W. Pitera Patrick Rall Gokul Subramanian Ravi Niall Robertson Matteo A. C. Rossi Piotr Rydlichowski Hoon Ryu Ge. G. Samsonidze Mitsuhisa Sato Nishant Saurabh

10.1016/j.future.2024.04.060 article EN Future Generation Computer Systems 2024-05-31

In this work, we explore the interplay of confinement, string breaking and entanglement asymmetry on a 1D quantum Ising chain. We consider evolution an initial domain wall show that, surprisingly, while introduction confinement through longitudinal field typically suppresses entanglement, it can also serve to increase beyond bound set for free particles. Our model be tuned conserve number walls, which gives opportunity associated with link variables. study two approaches deal non-locality...

10.22331/q-2024-09-06-1462 article EN cc-by Quantum 2024-09-06

Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general simulation algorithms likely require error-corrected qubits, there be applications interest prior to practical implementation error correction. The variational eigensolver (VQE) is a promising approach finding energy eigenvalues on noisy computers. Lattice models are broad use near-term hardware due sparsity number Hamiltonian terms and possibility matching...

10.1103/physrevresearch.5.033071 article EN cc-by Physical Review Research 2023-08-01

Quantum many-body scar states are highly excited eigenstates of systems that exhibit atypical entanglement and correlation properties relative to typical at the same energy density. Scar also give rise infinitely long-lived coherent dynamics when system is prepared in a special initial state having finite overlap with them. Many models exact have been constructed, but fate scarred these perturbed difficult study classical computational techniques. In this work, we propose preparation...

10.22331/q-2023-11-07-1171 article EN cc-by Quantum 2023-11-07

Response functions are a key quantity to describe the near-equilibrium dynamics of strongly-interacting many-body systems. Recent techniques that attempt overcome challenges calculating these \emph{ab initio} have employed expansions in terms orthogonal polynomials. We employ neural network prediction algorithm reconstruct response function $S(\omega)$ defined over range frequencies $\omega$. represent calculated as truncated Chebyshev series whose coefficients can be optimized reduce...

10.48550/arxiv.2501.10583 preprint EN arXiv (Cornell University) 2025-01-17

Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Typical applications range from chemistry optimization problems and also include simulations for high energy physics. The recent maturing hardware has triggered preliminary explorations several institutions (including Fermilab) capable demonstrating advantage in multiple domains, computing communications, sensing....

10.48550/arxiv.2204.08605 preprint EN other-oa arXiv (Cornell University) 2022-01-01

This is a Snowmass white paper on the utility of existing and future superconducting cavities to probe fundamental physics. Superconducting radio frequency (SRF) cavity technology has seen tremendous progress in past decades, as tool for accelerator science. With advances spear-headed by SQMS center at Fermilab, they are now being brought quantum regime becoming science thanks high degree coherence. The same quality factor can be leveraged search new physics, including searches particles,...

10.48550/arxiv.2203.12714 preprint EN public-domain arXiv (Cornell University) 2022-01-01

We discuss the implementation of quantum algorithms for lattice $\Phi^4$ theory on circuit electrodynamics (cQED) system. The field is represented qudits in a discretized amplitude basis. main advantage qudit systems that its multi-level characteristic allows interaction to be implemented only with diagonal single-qudit gates. Considering set universal gates formed by phase gate and displacement gate, we address initial state preparation synthesis variational methods.

10.2172/2361106 article EN 2024-03-01

High-coherence superconducting cavities offer a hardware-efficient platform for quantum information processing. To achieve universal operations of these bosonic modes, the requisite nonlinearity is realized by coupling them to transmon ancilla. However, this configuration susceptible crosstalk errors in dispersive regime, where ancilla frequency Stark-shifted state each coupled mode. This leads mismatch drive, lowering gate fidelities. mitigate such coherent errors, we employ optimal control...

10.48550/arxiv.2403.00275 preprint EN arXiv (Cornell University) 2024-02-29

High-coherence superconducting cavities offer a hardware-efficient platform for quantum information processing. To achieve universal operations of these bosonic modes, the requisite nonlinearity is realized by coupling them to transmon ancilla. However, this configuration susceptible crosstalk errors in dispersive regime, where ancilla frequency Stark shifted state each coupled mode. This leads mismatch drive, lowering gate fidelities. mitigate such coherent errors, we employ optimal control...

10.1103/physrevapplied.22.044072 article EN Physical Review Applied 2024-10-25

We derive general conditions for the emergence of singlet Feshbach molecules in presence artificial Zeeman fields arbitrary mixtures Rashba and Dresselhaus spin-orbit coupling two or three dimensions. focus on formation two-particle bound states resulting from interactions between ultracold $\text{spin-}1/2$ fermions, under assumption that are short ranged occur only $s\text{-wave}$ channel. In this case, we calculate explicitly binding energies bound-state energy thresholds analyze their...

10.1103/physreva.93.023611 article EN publisher-specific-oa Physical review. A/Physical review, A 2016-02-05

We describe how color superfluidity is modified in the presence of color-flip and color-orbit fields context ultracold atoms discuss connections between this problem that superconductivity quantum chromodynamics. study case $s$-wave contact interactions different colors we identify several superfluid phases, with five being nodal one fully gapped. When our system described a mixed-color basis, order parameter tensor characterized by six independent components explicit momentum dependence...

10.1103/physreva.97.023632 article EN publisher-specific-oa Physical review. A/Physical review, A 2018-02-22

We discuss the implementation of quantum algorithms for lattice $\Phi^4$ theory on circuit electrodynamics (cQED) system. The field is represented qudits in a discretized amplitude basis. main advantage qudit systems that its multi-level characteristic allows interaction to be implemented only with diagonal single-qudit gates. Considering set universal gates formed by phase gate and displacement gate, we address initial state preparation synthesis variational methods.

10.48550/arxiv.2108.13357 preprint EN cc-by arXiv (Cornell University) 2021-01-01

A rotating tokamak plasma can interact resonantly with the external helical magnetic perturbations, also known as error fields. This lead to locking and then disruptions. We leverage machine learning (ML) methods predict events. use a coupled third-order nonlinear ordinary differential equation model represent interaction of perturbation rotation field. is sufficient describe qualitatively unlocking bifurcations. explore using ML algorithms simulation data experimental data, focusing on that...

10.1063/5.0053670 article EN Physics of Plasmas 2021-08-01

Sensing with hybrid systems formed of superconducting levitated spheres and qubitsLevitated at ultra-low temperatures have very long relaxation times 4 , which can be leveraged in quantum sensing practical applications (e.g.gravimetry) addition to fundamental application (e.g.dark matter detection 5 ).Coupling a sphere qubit enables new measurement protocols. Qubit Levitated sphereAdvanced design material characterization are critical this platform, leveraging SQMS expertise research...

10.2172/2448569 article EN 2024-09-26

In this work, we explore the interplay of confinement, string breaking and entanglement asymmetry on a 1D quantum Ising chain. We consider evolution an initial domain wall show that, surprisingly, while introduction confinement through longitudinal field typically suppresses entanglement, it can also serve to increase beyond bound set for free particles. Our model be tuned conserve number walls, which gives opportunity associated with link variables. study two approaches deal non-locality...

10.48550/arxiv.2312.08601 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Our main focus is to investigate the sensitivity of training any SNAP parameters in SNAP-Displacement protocol. We analyze conditions that could potentially lead Barren Plateau problem a qudit system and draw comparisons with multi-qubit systems. The parameterized ansatz we consider consists -Displacement blocks. utilize techniques similar those [8] [2] along concept $t-$design. Through this analysis, make following key observations: (a) trainability SNAP-parameter does not exhibit...

10.2172/2246726 article EN 2023-12-15

The Circuit Quantum Electrodynamics (Circuit QED) Pulse Control Interface provides a robust platform for designing and testing control signals in transmon-cavity systems. Utilizing PyQt5-based drag-and-drop GUI, this tool facilitates the implementation of two key protocols: Selective Number-dependent Arbitrary Phase (SNAP)-Displacement Echoed Conditional Displacement (ECD). It offers real-time pulse visualization supports CSV exports imports integrating custom signals, thereby enhancing...

10.2172/2426572 article EN 2024-08-03

Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general simulation algorithms likely require error-corrected qubits, there be applications interest prior to practical implementation error correction. The variational eigensolver (VQE) is a promising approach finding energy eigenvalues on noisy computers. Lattice models are broad use near-term hardware due sparsity number Hamiltonian terms and possibility matching...

10.48550/arxiv.2108.13375 preprint EN other-oa arXiv (Cornell University) 2021-01-01
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