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New method of measuring qubits promises ease of scalability in a microscopic package

Scaling up qubit counts in quantum computers is at the core of achieving quantum supremacy.


Among the troublesome hurdles of this scaling-up race is refining how qubits are measured. Devices called parametric amplifiers are traditionally used to do these measurements. But as the name suggests, the device amplifies weak signals picked up from the qubits to conduct the readout, which causes unwanted noise and can lead to decoherence of the qubits if not protected by additional large components. More importantly, the bulky size of the amplification chain becomes technically challenging to work around as qubit counts increase in size-limited refrigerators.

Cue the Aalto University research group Quantum Computing and Devices (QCD). They have a hefty track record of showing how thermal bolometers can be used as ultrasensitive detectors, and they just demonstrated in an April 10 Nature Electronics paper that bolometer measurements can be accurate enough for single-shot qubit readout.

Self-assembling synthetic cells act like living cells with extra abilities

Using DNA and proteins, scientists have created new synthetic cells that act like living cells. Blurring the line between artificial and living materials, these cells can be reprogrammed to perform multiple functions, opening the door to new synthetic biology tech that goes beyond nature’s abilities.

Cells get their structure and stability from their cytoskeleton, a crosslinked framework of proteins that encases and protects other components. Depending on the type of cell, this cytoskeleton can be flexible to different degrees and respond in different ways to their environment, giving cells their specialized abilities.

For the new study, scientists from the University of North Carolina at Chapel Hill developed synthetic, self-assembling cytoskeletons, built out of DNA, peptides and other genetic material.

OpenAI Startup Fund quietly raises $15M

The OpenAI Startup Fund, a venture fund related to — but technically separate from — OpenAI that invests in early-stage, typically AI-related companies across education, law and the sciences, has quietly closed a $15 million tranche.

According to a filing with the U.S. Securities and Exchange Commission, two unnamed investors contributed the $15 million in new cash on or around April 19. The paperwork was submitted on April 25, and mentions Ian Hathaway, the OpenAI Startup Fund’s manager and sole partner.

The capital was transferred to a legal entity called a special purpose vehicle, or SPV, associated with the OpenAI Startup Fund: OpenAI Startup Fund SPV II, L.P.