ADJUSRING TX WITH CLEARVIEW SIMULATOR SOFTWARE
ADJUSRING TX WITH CLEARVIEW SIMULATOR CODE

For these reasons, quantum emulators are still being designed and built to help on different frontiers of the quantum revolution. Furthermore, spontaneous decoherence, state preparation and measurement faults, or the engineering challenge of creating entangled states, are serious problems that we are learning to solve in the real world. Many of todayРІР‚в„ўs architectures are specifically tailored to run specialized algorithms, such as quantum annealing. At the same time, real quantum machines still have a long way to go before they become truly universal, stable and scalable. Companies such as IBM, Rigetti or D-Wave are investing in building physical quantum computers and exposing programmable interfaces to users around the world through cloud solutions.

Today, we are at the very beginning of a quantum revolution.

ADJUSRING TX WITH CLEARVIEW SIMULATOR SOFTWARE

The processor exposes a standard programming interface, allowing the user to design and use any quantum gates from the software level, without any hardware modification. The created system is capable of running any quantum algorithm completely in hardware (only limited by available FPGA resources), while maintaining time complexity and reflecting natural behaviors of quantum circuits, including parallelism. Our implementation can be viewed as a reproduction of a physical, universal quantum computer, where our hardware qubits replace ion traps or particle spins, and manipulation matrices imitate precise lasers or magnetic field generators.

ADJUSRING TX WITH CLEARVIEW SIMULATOR CODE

Universality-rather than pre-implementing gates, our design can run any gates sent by the user to the processorР”В¬ode-level scalability-modifying a single parameter in our code is enough to change the emulated qubits count, numerical precision and other processor parameters. Natural parallelization-every gate can be applied to the state in a single operation/clock-tick, regardless of the number of emulated qubits We designed the hardware to physically emulate qubits, with quantum manipulation methods provided by unitary matrices and a randomizer to introduce the uncertainty of quantum systems (as seen in FPGA section in Fig. This paper describes an approach to build a very scalable, easily parametrized and programmable universal quantum computer emulator, reflecting natural behaviors of real quantum circuits.

This is where field-programmable gate arrays, or FPGAs, come to help us. While we cannot bypass that need for resources when emulating quantum circuits, we can shift the weight from time to hardware complexity. Emulation of any quantum algorithm on a standard computer will often require exponentially more time than it would on a quantum machine. In other words-there is no physical way to achieve the quantum speedup on classical, sequential machines. However, as it was suggested by Richard Feynman and stated by the Quantum Strong ChurchРІР‚вЂњTuring Thesis, only quantum machines are capable of efficient emulation of quantum circuits. The praised quantum speedup of many famous algorithms comes from massive parallelism in quantum computation. This is what drives researchers around the world to develop new algorithms for machines that we cannot be sure will ever come to existence. What cannot be denied, however, is the great potential and power of quantum computing.

Yet, we are still far from running most of the already developed quantum algorithms in a useful scale.

Many different approaches have been taken, from nano-scale superconducting circuits to ion-traps. In spite of the rapid growth of our knowledge in quantum physics, a fully workable quantum computer of a desired scale still remains outside our reach. It has been over 30Р’В years since the idea of using quantum circuits to perform computational tasks was first proposed.

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