Available for Shipping Q4 2022 QpiAISense™ unit block Performance parameters Parameter RF Output Module RF Input Module Resolution 14 bit DAC 14 bit ADC No of Channel 16 16 Sampling Rate 9.85GS/s 2.5GS/s Bandwidth 6 GHz 4 Ghz Dr Nagendra Nagaraja CEO and Founder of QpiAI suggested, ''This is a very important milestone for QpiAI.Capability for Quantum Error Correction and Error mitigation.Control and readout of up to 16 qubits.High speed Integrated control and readout electronics for quantum processors.In near term future, QPIAIsense™ integrates Optimization processor (QpiAI Trion) and AI processor based on silicon photonics (QpiSemi AI20P001) that offers up to 8000 ToPs/W of ML acceleration capability for tuning and analytics on 1024+ logical qubits (millions of physical Qubits) and support AI and quantum applications QpiAISense™ Product Details.QpiAIsense™ hardware platform and QpiAI-Quantum software platform have roadmap with integration of hybrid classical-Quantum compute chipset solution that QpiAI is working on to vertically integrate AI and Quantum processing to accelerate Quantum application adoption.But it can be modularly stacked to control as many qubits as possible. QpiAISense™ Single unit box can control 16 channels.Along with number of channels of 16, which is highest in Industry, ML acceleration is the key differentiator to tune the Qubits continuously to make sure high performance and lower operations error of the qubits.QpiAISense™ platform is thoroughly tested with Real world application like logistics, Finance, materials discovery, AI/ML applications via interfacing with QpiAI-Quantum software libraries.QpiAI begins deployment of QpiAISense™ room temperature Qubit controller platform, which has native ML acceleration capability to control various qubits types including Superconducting, Spin and Ion-traps. ![]() Current applications which will be run on QpiAISense™ will be running smoothly with both AI20P001 and Trion integration of QpiAISense™. Trion will be gateway for hybrid Classical-Quantum compute software development and application. Qubit control and high-fidelity operation of Quantum computer, requires ML based technology, which QpiAI provides readily.įurther to accelerate optimization workload on the quantum computers, QpiAI will be integrating the Trion SoC onto QpiAISense™ platform. 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 () silicon photonics based AI20P001 to be integrated on QpiAISense™ platform. QpiAISense™ accelerates ML library using discrete FPGA DSPs currently. PTI | Bengaluru | Updated: 24-08-2022 12:01 IST | Created: 24-08-2022 12:01 ISTīengaluru, Karnataka, India & Milpitas, CA, United States – Business Wire India QpiAI, a leader in quantum computing and AI today announced QpiAISense™ platform for room temperature qubit control.
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