This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Microchips power almost every modern device — phones, laptops and even fridges. But behind the scenes, making them is a complex process. But researchers say they have found a way to tap into the power ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

WiMi's new QRAM architecture enhances quantum computing by enabling parallel data access and efficient quantum memory operations. QRAM's quantum error correction ...

Ramin Ayanzadeh joined CU Boulder’s Department of Computer Science as an assistant professor in the fall of 2024. His research focuses on trustworthy quantum computing to enhance the reliability and ...