Infleqtion, a quantum-computing startup based in Boulder, Colo., raised $110 million in a Series B round, drawing investors in a tight market with near-term plans to harness and sell the present-day capabilities of a technology whose full potential is still years away.
Albert may be the world’s coolest cloud-based service—literally. The only quantum design platform of its kind, Albert lets anyone access and manipulate atoms cooled to a billionth of 1° above absolute zero, from their own computer. With this technology, once accessible only to professional scientists but now free to all, researchers can remotely use ColdQuanta’s quantum-matter machine to design potentially transformative innovations. One possibility: autonomous vehicles that never lose their GPS signal. The beta version of Albert launched this year, with an official release coming soon.
Combination of ColdQuanta Hardware and Super.tech Software to Maximize Value of QuantumComputing Investments BOULDER, Colo., and CHICAGO, May 10, 2022 /PRNewswire/ — ColdQuanta, the global quantum ecosystem leader, today announced its acquisition of Chicago-based Super.tech, a world leader in quantum software application and platform development, and the beta launch of Hilbert, the world’s first gate-based cold atom quantum computer. Super.tech’s full … Read more
While quantum computing holds great potential in combinatorial optimization, electronic structure calculation, and number theory, the current era of quantum computing is limited by noisy hardware. Many quantum compilation approaches can mitigate the effects of imperfect hardware by optimizing quantum circuits for objectives such as critical path length. Few approaches consider quantum circuits in terms of the set of vendor-calibrated operations (i.e., native gates) available on target hardware. This manuscript expands the analytical and numerical approaches for optimizing quantum circuits at this abstraction level. We present a procedure for combining the strengths of analytical native gate-level optimization with numerical optimization. Although we focus on optimizing Toffoli gates on the IBMQ native gate set, the methods presented are generalizable to any gate and superconducting qubit architecture. Our optimized Toffoli gate implementation demonstrates an 18% reduction in infidelity compared with the canonical implementation as benchmarked on IBM Jakarta with quantum process tomography. Assuming the inclusion of multi-qubit cross-resonance (MCR) gates in the IBMQ native gate set, we produce Toffoli implementations with only six multi-qubit gates, a 25% reduction from the canonical eight multi-qubit implementations for linearly connected qubits.