Latest Breaking News On - 1024 and 2048 qubits qpiaisense hardware platform qpiai quantum software have roadmap with integration of hybrid classical compute chipset solution that is working on to vertically integrate ai processing accelerate application adoption in near term future - Page 1 : comparemela.com

Milpitas (California) [US]/Bengaluru (Karnataka) [India], August 24 (ANI/BusinessWire India): QpiAI, a leader in quantum computing and AI today announced QpiAISense platform for room temperature qubit control. QpiAISense accelerates ML library using discrete FPGA DSPs currently. But in future it would support massive ML compute capability as much as 8000 trillion operations per second per watt (8000 Tops/watt ) using Qpisemi's (https://www.qpisemi.tech) silicon photonics based AI20P001 to be integrated on QpiAISense platform. Qubit control and high-fidelity operation of Quantum computer, requires ML based technology, which QpiAI provides readily. Further to accelerate optimization workload on the quantum computers, QpiAI will be integrating the Trion SoC onto QpiAISense platform. Trion will be gateway for hybrid Classical-Quantum compute software development and application. Current applications which will be run on QpiAISense will be running smoothly with both AI20P001 and Trion i

Nagendra nagarajaBusinesswire indiaTrion socMilpitas california us bengaluru karnataka indiaUgust 24 ani businesswire india qpiaiA leader in quantum computing and ai today announced qpiaisense platform for room temperature qubit control accelerates ml library using discrete fpga dsps currently but future it would support massive compute capability as much 8000 trillion operations per second watt tops qpisemi 39s https www tech silicon photonics based ai20p001 to be integrated on high fidelity operation of computerEquires ml based technologyHich qpiai provides readily further to accelerate optimization workload on the quantum computersPiai will be integrating the trion soc onto qpiaisense platform gateway for hybrid classical quantum compute software development and application current applications which run on running smoothly with both ai20p001 integration of qpiai begins deployment room temperature qubit controllerHich has native ml acceleration capability to control various qubits types including superconductingPin and ion traps qpiaisense platform is thoroughly tested with real world application like logisticsMaterials discoveryI ml applications via interfacing with qpiai quantum software libraries along number of channels 16Hich is highest in industryL acceleration is the key differentiator to tune qubits continuously make sure high performance and lower operations error of qpiaisense single unit box can control 16 channels but it be modularly stacked as many possible platform 251024 and 2048 qubits qpiaisense hardware platform qpiai quantum software have roadmap with integration of hybrid classical compute chipset solution that is working on to vertically integrate ai processing accelerate application adoption in near term future