Abstract:We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms. One is a publicly accessible superconducting transmon device (www.research.ibm.com/ibm-q) with limited connectivity, and the other is a fully connected trapped-ion system. Even though the two systems have different native quantum interactions, both can be programed in a way that is blind to the underlying hardware, thus allowing a comparison of identical quantum algorithms betwee… Show more
“…As a general comment, trapped ions quantum simulators allow deeper quantum circuits with better performance, that is, a larger number of Trotter steps is possible. This is in line with recent studies comparing the two platforms when challenged with similar quantum algorithms on 5 qubits processors . One may notice that 5 Trotter steps are currently a limiting value for superconducting circuit quantum simulators, where the fidelity drops to values slightly above 60%, still far from an acceptable result, also in view of scalability.…”
Section: Experimental Achievements and Prospective Technologiesmentioning
confidence: 95%
“…On the other hand, a quantum processor based on 11 hyperfine qubits has recently been shown to achieve an all‐to‐all connectivity with single‐ and two‐qubit XX gate fidelities of 99.5% and 97.5% on average, respectively . It is interesting to notice that these results improve previous reports on an analogous 5‐qubits quantum processor, as a clear signature of the ongoing development. At time of writing, we are not aware of any digital quantum simulation of spin models performed on quantum processors based on hyperfine qubits, although it would be interesting to test them with some of the algorithms presented in this Review.…”
Section: Experimental Achievements and Prospective Technologiesmentioning
The past few years have witnessed the concrete and fast spreading of quantum technologies for practical computation and simulation. In particular, quantum computing platforms based on either trapped ions or superconducting qubits have become available for simulations and benchmarking, with up to few tens of qubits that can be reliably initialized, controlled, and measured. The present Review aims at giving a comprehensive outlook on the state‐of‐the‐art capabilities offered from these near‐term noisy devices as universal quantum simulators, that is, programmable quantum computers potentially able to calculate the time evolution of many physical models. First, a pedagogic overview on the basic theoretical background pertaining digital quantum simulations is given, with a focus on hardware‐dependent mapping of spin‐type Hamiltonians into the corresponding quantum circuit as a key initial step toward simulating more complex models. Then, the main experimental achievements obtained in the last decade are reviewed, focusing on the digital quantum simulation of such spin models by employing two leading quantum architectures. Their performances are compared, and future challenges are outlined, also in view of prospective hybrid technologies, towards the ultimate goal of reaching the long‐sought quantum advantage for the simulation of complex many‐body models in the physical sciences.
“…As a general comment, trapped ions quantum simulators allow deeper quantum circuits with better performance, that is, a larger number of Trotter steps is possible. This is in line with recent studies comparing the two platforms when challenged with similar quantum algorithms on 5 qubits processors . One may notice that 5 Trotter steps are currently a limiting value for superconducting circuit quantum simulators, where the fidelity drops to values slightly above 60%, still far from an acceptable result, also in view of scalability.…”
Section: Experimental Achievements and Prospective Technologiesmentioning
confidence: 95%
“…On the other hand, a quantum processor based on 11 hyperfine qubits has recently been shown to achieve an all‐to‐all connectivity with single‐ and two‐qubit XX gate fidelities of 99.5% and 97.5% on average, respectively . It is interesting to notice that these results improve previous reports on an analogous 5‐qubits quantum processor, as a clear signature of the ongoing development. At time of writing, we are not aware of any digital quantum simulation of spin models performed on quantum processors based on hyperfine qubits, although it would be interesting to test them with some of the algorithms presented in this Review.…”
Section: Experimental Achievements and Prospective Technologiesmentioning
The past few years have witnessed the concrete and fast spreading of quantum technologies for practical computation and simulation. In particular, quantum computing platforms based on either trapped ions or superconducting qubits have become available for simulations and benchmarking, with up to few tens of qubits that can be reliably initialized, controlled, and measured. The present Review aims at giving a comprehensive outlook on the state‐of‐the‐art capabilities offered from these near‐term noisy devices as universal quantum simulators, that is, programmable quantum computers potentially able to calculate the time evolution of many physical models. First, a pedagogic overview on the basic theoretical background pertaining digital quantum simulations is given, with a focus on hardware‐dependent mapping of spin‐type Hamiltonians into the corresponding quantum circuit as a key initial step toward simulating more complex models. Then, the main experimental achievements obtained in the last decade are reviewed, focusing on the digital quantum simulation of such spin models by employing two leading quantum architectures. Their performances are compared, and future challenges are outlined, also in view of prospective hybrid technologies, towards the ultimate goal of reaching the long‐sought quantum advantage for the simulation of complex many‐body models in the physical sciences.
“…It is world's first commercial quantum computing service provided by IBM, and permits a user to run quantum algorithms via the IBM cloud and implement quantum circuits. Using this web interface researchers have run a variety of quantum computing experiments and demonstrations, e.g., [2][3][4][5][6][7][8][9][10][11].…”
Abstract:In this note, we demonstrate the quantum no-hiding theorem of Braunstein and Pati [Phys. Rev. Lett. 98, 080502 (2007)] using the IBM 5Q quantum processor. We also analyze the circuit using the ZX calculus of Coecke and Duncan [New J Phys. 13(4), 043016 (2011)], which provides a pictorial/category-theoretic demonstration of the no-hiding theorem.
“…(2) The operation temperature may be too low. The operation temperature for the superconducting qubit is in the order of mK [4]. Maintaining a large number of qubits intact with keeping such low temperature may be too difficult and too expensive [5].…”
The spin-vortex-induced loop current (SVILC) is a nano-sized loop current predicted to exist in the CuO 2 plane in the bulk of hole-doped cuprate superconductors. It is a persistent loop current protected by the topological winding number associated with the wave function. It exists around a spin-vortex created by the itinerant electrons with a doped hole at its center. The direction of each SVILC can be either clockwise (winding number −1) or counterclockwise (winding number +1); and the currentless winding number zero is forbidden by the single-valued requirement of the wave function with respect to the electron coordinates. Recently, it has been demonstrated, theoretically, that this degree-of-freedom can be used for qubits. The gate-operation time by the Rabi oscillation using an electromagnetic field with electric field intensity 10 5 V m -1 is estimated to be several nanoseconds. This is comparable or shorter than the existing superconducting qubits. Since SVILCs do not require Cooper pairs, the SVILC qubit is free from the relaxation caused by broken Cooper pair electrons that is speculated to limit the qubit coherence time in the existing superconducting qubits. Thus, the coherence time for the SVILC qubit may exceed the value achieved by the superconducting qubit (about 100 μs). Further, since the stabilization temperature of SVILCs is expected to be the superconducting transition temperature of the cuprates, a much higher operation temperature may be possible for the SVILC qubits compared to the existing superconducting qubits, which requires the operation temperature of about 10 mK. In the present work, we show, theoretically, that coupling of two SVILC qubits can be achieved by external current feeding. This enables the construction of nanosized qubit-couplers, and may provide a scalability that is needed in the construction of a fully faulttolerant quantum computer.
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