Sabre Kais

Prof. Dr. Sabre Kais

Purdue University
orcid

Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in New Journal of Physics
Verified
Journal Article
Open access
YCYudong Cao
Yudong Cao
APAnargyros Papageorgiou
Anargyros Papageorgiou
IPIasonas Petras
Iasonas Petras
JTJoseph Traub
Joseph Traub
Sabre KaisSabre Kais
Sabre Kais

14 June 2013 in Molecular Physics
Verified
Journal Article
Closed access
MLMikhail Lemeshko
Mikhail Lemeshko
RKRoman V. Krems
Roman V. Krems
JDJohn M. Doyle
John M. Doyle
Sabre KaisSabre Kais
Sabre Kais
The goal of the present article is to review the major developments that have led to the current understanding of molecule–field interactions and experimental methods for manipulating molecules with electromagnetic fields. Molecule–field interactions are at the core of several, seemingly distinct areas of molecular physics. This is reflected in the organisation of this article, which includes sections on field control of molecular beams, external field traps for cold molecules, control of molecular orientation and molecular alignment, manipulation of molecules by non-conservative forces, ultracold molecules and ultracold chemistry, controlled many-body phenomena, entanglement of molecules and dipole arrays, and stability of molecular systems in high-frequency super-intense laser fields. The article contains 852 references.

24 February 2020 in Scientific Reports
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Journal Article
Open access
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ZHZixuan Hu
Zixuan Hu
RXRongxin Xia
Rongxin Xia
Sabre KaisSabre Kais
Sabre Kais
Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in most realistic physical models. In this work we propose and demonstrate a general quantum algorithm to evolve open quantum dynamics on quantum computing devices. The Kraus operators governing the time evolution can be converted into unitary matrices with minimal dilation guaranteed by the Sz.-Nagy theorem. This allows the evolution of the initial state through unitary quantum gates, while using significantly less resource than required by the conventional Stinespring dilation. We demonstrate the algorithm on an amplitude damping channel using the IBM Qiskit quantum simulator and the IBM Q 5 Tenerife quantum device. The proposed algorithm does not require particular models of dynamics or decomposition of the quantum channel, and thus can be easily generalized to other open quantum dynamical models.

5 December 2018 in Scientific Reports
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Journal Article
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SJShuxian Jiang
Shuxian Jiang
KBKeith A. Britt
Keith A. Britt
AMAlexander McCaskey
Alexander McCaskey
THTravis Humble
Travis Humble
Sabre KaisSabre Kais
Sabre Kais
We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses $${\mathscr{O}}({\mathrm{log}}^{2}(N))$$ O ( log 2 ( N ) ) binary variables (qubits) for finding the factors of an integer N. We present how to factorize 15, 143, 59989, and 376289 using 4, 12, 59, and 94 logical qubits, respectively. This method was tested using the D-Wave 2000Q for finding an embedding and determining the prime factors for a given composite number. The method is general and could be used to factor larger integers as the number of available qubits increases, or combined with other ad hoc methods to achieve better performances for specific numbers.

10 October 2018 in Nature Communications
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Journal Article
Open access
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RXRongxin Xia
Rongxin Xia
Sabre KaisSabre Kais
Sabre Kais
Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations—alongside impressive results using machine learning techniques for computation—hybridizing quantum computing with machine learning for the intent of performing electronic structure calculations is a natural progression. Here we report a hybrid quantum algorithm employing a restricted Boltzmann machine to obtain accurate molecular potential energy surfaces. By exploiting a quantum algorithm to help optimize the underlying objective function, we obtained an efficient procedure for the calculation of the electronic ground state energy for a small molecule system. Our approach achieves high accuracy for the ground state energy for H2, LiH, H2O at a specific location on its potential energy surface with a finite basis set. With the future availability of larger-scale quantum computers, quantum machine learning techniques are set to become powerful tools to obtain accurate values for electronic structures.

18 July 2022 in Chemical Society Reviews
Verified
Journal Article
Open access
PDF file
MSManas Sajjan
Manas Sajjan
JLJunxu Li
Junxu Li
RSRaja Selvarajan
Raja Selvarajan
SSShree Hari Sureshbabu
Shree Hari Sureshbabu
SKSumit Suresh Kale
Sumit Suresh Kale
Sabre KaisSabre Kais
Sabre Kais
Quantum variants of machine learning algorithms are discussed with emphasis on methodology, learning techniques and applications in broad and distinct domains of chemical physics.