%0 Journal Article %D 2023 %T Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap %A Paul Alsing %A Phil Battle %A Joshua C. Bienfang %A Tammie Borders %A Tina Brower-Thomas %A Lincoln D. Carr %A Fred Chong %A Siamak Dadras %A Brian DeMarco %A Ivan Deutsch %A Eden Figueroa %A Danna Freedman %A Henry Everitt %A Daniel Gauthier %A Ezekiel Johnston-Halperin %A Jungsang Kim %A Mackillo Kira %A Prem Kumar %A Paul Kwiat %A John Lekki %A Anjul Loiacono %A Marko Lončar %A John R. Lowell %A Mikhail Lukin %A Celia Merzbacher %A Aaron Miller %A Christopher Monroe %A Johannes Pollanen %A David Pappas %A Michael Raymer %A Ronald Reano %A Brandon Rodenburg %A Martin Savage %A Thomas Searles %A Jun Ye %X

Quantum information science and technology (QIST) is a critical and emerging technology with the potential for enormous world impact and is currently invested in by over 40 nations. To bring these large-scale investments to fruition and bridge the lower technology readiness levels (TRLs) of fundamental research at universities to the high TRLs necessary to realize the promise of practical quantum advantage accessible to industry and the public, we present a roadmap for Quantum Technology Demonstration Projects (QTDPs). Such QTDPs, focused on intermediate TRLs, are large-scale public-private partnerships with a high probability of translation from laboratory to practice. They create technology demonstrating a clear 'quantum advantage' for science breakthroughs that are user-motivated and will provide access to a broad and diverse community of scientific users. Successful implementation of a program of QTDPs will have large positive economic impacts.

%8 3/20/2023 %G eng %U https://arxiv.org/abs/2210.14757 %0 Journal Article %D 2019 %T Development of Quantum InterConnects for Next-Generation Information Technologies %A David Awschalom %A Karl K. Berggren %A Hannes Bernien %A Sunil Bhave %A Lincoln D. Carr %A Paul Davids %A Sophia E. Economou %A Dirk Englund %A Andrei Faraon %A Marty Fejer %A Saikat Guha %A Martin V. Gustafsson %A Evelyn Hu %A Liang Jiang %A Jungsang Kim %A Boris Korzh %A Prem Kumar %A Paul G. Kwiat %A Marko Lončar %A Mikhail D. Lukin %A David A. B. Miller %A Christopher Monroe %A Sae Woo Nam %A Prineha Narang %A Jason S. Orcutt %X

Just as classical information technology rests on a foundation built of interconnected information-processing systems, quantum information technology (QIT) must do the same. A critical component of such systems is the interconnect, a device or process that allows transfer of information between disparate physical media, for example, semiconductor electronics, individual atoms, light pulses in optical fiber, or microwave fields. While interconnects have been well engineered for decades in the realm of classical information technology, quantum interconnects (QuICs) present special challenges, as they must allow the transfer of fragile quantum states between different physical parts or degrees of freedom of the system. The diversity of QIT platforms (superconducting, atomic, solid-state color center, optical, etc.) that will form a quantum internet poses additional challenges. As quantum systems scale to larger size, the quantum interconnect bottleneck is imminent, and is emerging as a grand challenge for QIT. For these reasons, it is the position of the community represented by participants of the NSF workshop on Quantum Interconnects that accelerating QuIC research is crucial for sustained development of a national quantum science and technology program. Given the diversity of QIT platforms, materials used, applications, and infrastructure required, a convergent research program including partnership between academia, industry and national laboratories is required. This document is a summary from a U.S. National Science Foundation supported workshop held on 31 October - 1 November 2019 in Alexandria, VA. Attendees were charged to identify the scientific and community needs, opportunities, and significant challenges for quantum interconnects over the next 2-5 years. 

%8 12/13/2019 %G eng %U https://arxiv.org/abs/1912.06642 %0 Journal Article %D 2019 %T Ground-state energy estimation of the water molecule on a trapped ion quantum computer %A Yunseong Nam %A Jwo-Sy Chen %A Neal C. Pisenti %A Kenneth Wright %A Conor Delaney %A Dmitri Maslov %A Kenneth R. Brown %A Stewart Allen %A Jason M. Amini %A Joel Apisdorf %A Kristin M. Beck %A Aleksey Blinov %A Vandiver Chaplin %A Mika Chmielewski %A Coleman Collins %A Shantanu Debnath %A Andrew M. Ducore %A Kai M. Hudek %A Matthew Keesan %A Sarah M. Kreikemeier %A Jonathan Mizrahi %A Phil Solomon %A Mike Williams %A Jaime David Wong-Campos %A Christopher Monroe %A Jungsang Kim %X

Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular and nuclear structure, simulating strongly-interacting electron systems, and modeling aspects of material function. While substantial theoretical advances have been made in mapping these problems to quantum algorithms, there remains a large gap between the resource requirements for solving such problems and the capabilities of currently available quantum hardware. Bridging this gap will require a co-design approach, where the expression of algorithms is developed in conjunction with the hardware itself to optimize execution. Here, we describe a scalable co-design framework for solving chemistry problems on a trapped ion quantum computer, and apply it to compute the ground-state energy of the water molecule. The robust operation of the trapped ion quantum computer yields energy estimates with errors approaching the chemical accuracy, which is the target threshold necessary for predicting the rates of chemical reaction dynamics.

%8 03/07/2019 %G eng %U https://arxiv.org/abs/1902.10171 %0 Journal Article %D 2019 %T Quantum Computer Systems for Scientific Discovery %A Yuri Alexeev %A Dave Bacon %A Kenneth R. Brown %A Robert Calderbank %A Lincoln D. Carr %A Frederic T. Chong %A Brian DeMarco %A Dirk Englund %A Edward Farhi %A Bill Fefferman %A Alexey V. Gorshkov %A Andrew Houck %A Jungsang Kim %A Shelby Kimmel %A Michael Lange %A Seth Lloyd %A Mikhail D. Lukin %A Dmitri Maslov %A Peter Maunz %A Christopher Monroe %A John Preskill %A Martin Roetteler %A Martin Savage %A Jeff Thompson %A Umesh Vazirani %X

The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considered together, by co-designing full stack quantum computer systems along with their applications in order to hasten their development and potential for scientific discovery. In this context, we identify scientific and community needs, opportunities, and significant challenges for the development of quantum computers for science over the next 2-10 years. This document is written by a community of university, national laboratory, and industrial researchers in the field of Quantum Information Science and Technology, and is based on a summary from a U.S. National Science Foundation workshop on Quantum Computing held on October 21-22, 2019 in Alexandria, VA.

%8 12/16/2019 %G eng %U https://arxiv.org/abs/1912.07577 %0 Journal Article %J New Journal of Physics %D 2012 %T Quantum Simulation of Spin Models on an Arbitrary Lattice with Trapped Ions %A Simcha Korenblit %A Dvir Kafri %A Wess C. Campbell %A Rajibul Islam %A Emily E. Edwards %A Zhe-Xuan Gong %A Guin-Dar Lin %A Luming Duan %A Jungsang Kim %A Kihwan Kim %A Christopher Monroe %X A collection of trapped atomic ions represents one of the most attractive platforms for the quantum simulation of interacting spin networks and quantum magnetism. Spin-dependent optical dipole forces applied to an ion crystal create long-range effective spin-spin interactions and allow the simulation of spin Hamiltonians that possess nontrivial phases and dynamics. Here we show how appropriate design of laser fields can provide for arbitrary multidimensional spin-spin interaction graphs even for the case of a linear spatial array of ions. This scheme uses currently existing trap technology and is scalable to levels where classical methods of simulation are intractable. %B New Journal of Physics %V 14 %P 095024 %8 2012/09/27 %G eng %U http://arxiv.org/abs/1201.0776v1 %N 9 %! New J. Phys. %R 10.1088/1367-2630/14/9/095024