B. Foxen
University of California, Santa Barbara
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Featured researches published by B. Foxen.
Science | 2018
C. Neill; P. Roushan; K. Kechedzhi; Sergio Boixo; Sergei V. Isakov; Vadim N. Smelyanskiy; A. Megrant; B. Chiaro; A. Dunsworth; K. Arya; R. Barends; B. Burkett; Yu Chen; Z. Chen; Austin G. Fowler; B. Foxen; M. Giustina; R. Graff; E. Jeffrey; T. Huang; J. Kelly; P. Klimov; E. Lucero; Josh Mutus; M. Neeley; C. Quintana; D. Sank; A. Vainsencher; J. Wenner; T. White
Scaling up to supremacy Quantum information scientists are getting closer to building a quantum computer that can perform calculations that a classical computer cannot. It has been estimated that such a computer would need around 50 qubits, but scaling up existing architectures to this number is tricky. Neill et al. explore how increasing the number of qubits from five to nine affects the quality of the output of their superconducting qubit device. If, as the number of qubits grows further, the error continues to increase at the same rate, a quantum computer with about 60 qubits and reasonable fidelity might be achievable with current technologies. Science, this issue p. 195 Scaling of errors and output with the number of qubits is explored in a five- to nine-qubit device. A key step toward demonstrating a quantum system that can address difficult problems in physics and chemistry will be performing a computation beyond the capabilities of any classical computer, thus achieving so-called quantum supremacy. In this study, we used nine superconducting qubits to demonstrate a promising path toward quantum supremacy. By individually tuning the qubit parameters, we were able to generate thousands of distinct Hamiltonian evolutions and probe the output probabilities. The measured probabilities obey a universal distribution, consistent with uniformly sampling the full Hilbert space. As the number of qubits increases, the system continues to explore the exponentially growing number of states. Extending these results to a system of 50 qubits has the potential to address scientific questions that are beyond the capabilities of any classical computer.
Science | 2017
P. Roushan; C. Neill; J. Tangpanitanon; V. M. Bastidas; A. Megrant; R. Barends; Yu Chen; Z. Chen; B. Chiaro; A. Dunsworth; Austin G. Fowler; B. Foxen; M. Giustina; E. Jeffrey; J. Kelly; E. Lucero; Josh Mutus; M. Neeley; C. Quintana; D. Sank; A. Vainsencher; J. Wenner; T. White; Hartmut Neven; D. G. Angelakis; John M. Martinis
Putting photons to work Interacting quantum particles can behave in peculiar ways. To understand that behavior, physicists have turned to quantum simulation, in which a tunable and clean system can be monitored as it evolves under the influence of interactions. Roushan et al. used a chain of nine superconducting qubits to create effective interactions between normally noninteracting photons and directly measured the energy levels of their system. The interplay of interactions and disorder gave rise to a transition to a localized state. With an increase in the number of qubits, the technique should be able to tackle problems that are inaccessible to classical computers. Science, this issue p. 1175 A many-body spectroscopy technique based on a chain of superconducting qubits gives insight into the localization transition. Quantized eigenenergies and their associated wave functions provide extensive information for predicting the physics of quantum many-body systems. Using a chain of nine superconducting qubits, we implement a technique for resolving the energy levels of interacting photons. We benchmark this method by capturing the main features of the intricate energy spectrum predicted for two-dimensional electrons in a magnetic field—the Hofstadter butterfly. We introduce disorder to study the statistics of the energy levels of the system as it undergoes the transition from a thermalized to a localized phase. Our work introduces a many-body spectroscopy technique to study quantum phases of matter.Statistical mechanics is founded on the assumption that a system can reach thermal equilibrium, regardless of the starting state. Interactions between particles facilitate thermalization, but, can interacting systems always equilibrate regardless of parameter values\,? The energy spectrum of a system can answer this question and reveal the nature of the underlying phases. However, most experimental techniques only indirectly probe the many-body energy spectrum. Using a chain of nine superconducting qubits, we implement a novel technique for directly resolving the energy levels of interacting photons. We benchmark this method by capturing the intricate energy spectrum predicted for 2D electrons in a magnetic field, the Hofstadter butterfly. By increasing disorder, the spatial extent of energy eigenstates at the edge of the energy band shrink, suggesting the formation of a mobility edge. At strong disorder, the energy levels cease to repel one another and their statistics approaches a Poisson distribution - the hallmark of transition from the thermalized to the many-body localized phase. Our work introduces a new many-body spectroscopy technique to study quantum phases of matter.
Applied Physics Letters | 2017
A. Dunsworth; A. Megrant; C. Quintana; Z. Chen; R. Barends; B. Burkett; B. Foxen; Yu Chen; B. Chiaro; Austin G. Fowler; R. Graff; E. Jeffrey; J. Kelly; E. Lucero; Josh Mutus; M. Neeley; C. Neill; P. Roushan; D. Sank; A. Vainsencher; J. Wenner; T. White; John M. Martinis
Josephson junctions form the essential non-linearity for almost all superconducting qubits. The junction is formed when two superconducting electrodes come within ∼1 nm of each other. Although the capacitance of these electrodes is a small fraction of the total qubit capacitance, the nearby electric fields are more concentrated in dielectric surfaces and can contribute substantially to the total dissipation. We have developed a technique to experimentally investigate the effect of these electrodes on the quality of superconducting devices. We use λ/4 coplanar waveguide resonators to emulate lumped qubit capacitors. We add a variable number of these electrodes to the capacitive end of these resonators and measure how the additional loss scales with the number of electrodes. We then reduce this loss with fabrication techniques that limit the amount of lossy dielectrics. We then use these techniques for the fabrication of Xmon qubits on a silicon substrate to improve their energy relaxation times by a factor...
Applied Physics Letters | 2018
A. Dunsworth; R. Barends; Yu Chen; Z. Chen; B. Chiaro; Austin G. Fowler; B. Foxen; E. Jeffrey; J. Kelly; P. Klimov; E. Lucero; Josh Mutus; M. Neeley; C. Neill; C. Quintana; P. Roushan; D. Sank; A. Vainsencher; J. Wenner; T. White; Hartmut Neven; John M. Martinis; A. Megrant
Complex integrated circuits require multiple wiring layers. In complementary metal-oxide-semiconductor processing, these layers are robustly separated by amorphous dielectrics. These dielectrics would dominate energy loss in superconducting integrated circuits. Here, we describe a procedure that capitalizes on the structural benefits of inter-layer dielectrics during fabrication and mitigates the added loss. We use a deposited inter-layer dielectric throughout fabrication and then etch it away post-fabrication. This technique is compatible with foundry level processing and can be generalized to make many different forms of low-loss wiring. We use this technique to create freestanding aluminum vacuum gap crossovers (airbridges). We characterize the added capacitive loss of these airbridges by connecting ground planes over microwave frequency λ/4 coplanar waveguide resonators and measuring resonator loss. We measure a low power resonator loss of ∼3.9 × 10−8 per bridge, which is 100 times lower than that of dielectric supported bridges. We further characterize these airbridges as crossovers, control line jumpers, and as part of a coupling network in gmon and fluxmon qubits. We measure qubit characteristic lifetimes (T1s) in excess of 30 μs in gmon devices.
arXiv: Quantum Physics | 2018
B. Foxen; Josh Mutus; E. Lucero; R. Graff; A. Megrant; Yu Chen; C. Quintana; B. Burkett; J. Kelly; E. Jeffrey; Yan Yang; Anthony Yu; K. Arya; R. Barends; Z. Chen; B. Chiaro; A. Dunsworth; Austin G. Fowler; Craig Gidney; M. Giustina; T. Huang; P. Klimov; M. Neeley; C. Neill; P. Roushan; D. Sank; A. Vainsencher; J. Wenner; T. White; John M. Martinis
Bulletin of the American Physical Society | 2017
Erik Lucero; E. Jeffrey; A. Vainsencher; Paul V. Klimov; T. Huang; Z. Chen; B. Chiaro; A. Dunsworth; B. Foxen; C. Neill; C. Quintana; J. Wenner; John M. Martinis
arXiv: Quantum Physics | 2018
B. Foxen; J. Mutus; Erik Lucero; E. Jeffrey; D. Sank; R. Barends; K. Arya; B. Burkett; Yu Chen; Z. Chen; B. Chiaro; A. Dunsworth; Austin G. Fowler; Craig Gidney; M. Giustina; R. Graff; T. Huang; J. Kelly; Paul V. Klimov; A. Megrant; Ofer Naaman; M. Neeley; C. Neill; C. Quintana; P. Roushan; A. Vainsencher; J. Wenner; T. White; John M. Martinis
Physical Review Letters | 2018
Paul V. Klimov; J. Kelly; Z. Chen; M. Neeley; A. Megrant; B. Burkett; R. Barends; K. Arya; B. Chiaro; Yu Chen; A. Dunsworth; Austin G. Fowler; B. Foxen; Craig Gidney; M. Giustina; R. Graff; T. Huang; E. Jeffrey; Erik Lucero; J. Mutus; Ofer Naaman; C. Neill; C. Quintana; P. Roushan; D. Sank; A. Vainsencher; J. Wenner; T. White; Sergio Boixo; Ryan Babbush
Bulletin of the American Physical Society | 2018
B. Foxen; Z. Chen; Ben Chiaro; A. Dunsworth; C. Neill; J. Wenner; John M. Martinis
Bulletin of the American Physical Society | 2018
Yu Chen; Chris Quintana; Dvir Kafri; Ben Chiaro; A. Dunsworth; B. Foxen; James Wenner; John M. Martinis; Hartmut Neven