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Watch a movie backwards and you’ll likely get confused—but a quantum computer wouldn’t. That’s the conclusion of researcher Mile Gu at the Centre for Quantum Technologies (CQT) at the National University of Singapore and Nanyang Technological University and collaborators.

In research published 18 July in Physical Review X, the international team shows that a computer is less in thrall to the arrow of time than a classical computer. In some cases, it’s as if the quantum computer doesn’t need to distinguish between cause and effect at all.

The new work is inspired by an influential discovery made almost 10 years ago by complexity scientists James Crutchfield and John Mahoney at the University of California, Davis. They showed that many statistical data sequences will have a built-in arrow of time. An observer who sees the data played from beginning to end, like the frames of a movie, can model what comes next using only a modest amount of memory about what occurred before. An observer who tries to model the system in reverse has a much harder task—potentially needing to track orders of magnitude more information.

According to the American Chemistry Council, in 2018 in the United States, 27.0 million tons of plastic ended up in landfills compared to just 3.1 million tons that were recycled. Worldwide the numbers are similarly bad, with just 9% of plastic being recycled according to a recent Organization for Economic Co-operation and Development (OECD) report.

The statistics are even worse for certain types of plastic. For example, out of 80,000 tons of styrofoam (polystyrene.

Polystyrene was discovered by accident in 1,839 by Eduard Simon, an apothecary from Berlin, Germany. As one of the most widely used plastics in the world, polystyrene is used for bottles, containers, packaging, disposable cutlery, packing peanuts, and more. It can be solid or foamed (Styrofoam is a brand name of closed-cell extruded polystyrene foam).

Our innovative ocean cleaning system is already removing plastic from the Pacific Ocean. Combined with our Interceptor river solutions deployed around the world, we aim to reduce floating ocean plastic by 90% by 2040.

Trillions of pieces of plastic float on the surface of our oceans, damaging habitats and contaminating food chains; a problem forecast to worsen exponentially as the stream of plastic flowing into the ocean from rivers increases. We address the plastic problem with a dual strategy: removing plastic that is already polluting the oceans, while also intercepting plastic in rivers to prevent it reaching the ocean and adding to the problem.

Throughout 2021 and 2022, our ocean cleaning system has been harvesting plastic from the Great Pacific Garbage Patch (GPGP), estimated to contain around 100,000,000 kilograms of plastic. Each branch of this strategy is essential to efficiently rid the oceans of plastic.

Basically this special bacterium Ideonella sakaiensis could solve the plastic crisis in the oceans by eating the plastic.


Plastic polymer PET degrading enzymes are of great interest for achieving sustainable plastics recycling. Here, the authors present the crystal structures of the plastic degrading bacterial enzymes PETase, MHETase in its apo-form and MHETase bound to a non-hydrolyzable substrate analog.