Quantum Computing Advancements - Regetti Computing launched its Sephius i36Q multi-chip quantum computer, featuring a chiplet-based system with four chiplets of 9 qubits each, totaling 36 qubits [1][3] - The new system achieves an improved fidelity of 995%, referred to as 2-qubit gate fidelity, with gate speeds of approximately 60-70 nanoseconds [3] - Regetti previously announced an 84-qubit single-chip system with 990% 2-qubit fidelity [3] - Chiplet architecture is crucial for scaling quantum computing to thousands or tens of thousands of qubits [4] Technical Challenges and Goals - Achieving quantum advantage requires at least 1,000 qubits, 999% or better 2-qubit gate fidelity, gate speeds faster than 50 nanoseconds, and real-time error correction [5] - Improving fidelity from 995% to 999% is a significant engineering challenge, drawing parallels to advancements in the CMOS industry [8] - While gate speed improvement is needed, fidelity improvement is considered the more significant hurdle [9] Quantum Computing Applications and Future - Quantum computers can solve currently unsolvable problems with classical computing, while consuming less energy [10] - Quantum computing offers potentially a million or a billion times better computing power with a fraction of the energy consumption [11][12] - Potential applications include weather forecasting, AI (bridging the gap from GenAI to AGI), drug discovery, material synthesis, and encryption [12][13] - The quantum computing business is projected to reach hundreds of billions of dollars in a decade or two, but the technology is still in the R&D stage [13][14] Financial Status - Regetti Computing has approximately $572 million in cash reserves as of the end of the last quarter [19] - The company's current burn rate is around $60 million, providing sufficient funds to commercialize quantum computers and reach profitability [19]