EINC — the Future of Computing

Turing-based computing has proven highly instrumental in solving scientific problems for decades. Today, however, both technological and fundamental limitations are emerging in many areas of these traditional computing systems. At EINC (pronounced as aɪ̯ns), our common goal is to explore new paradigms of information processing based on the concept of Physical Computing. To support this endeavor, the new European Institute for Neuromorphic Computing (EINC) research building provides 2200 square meters of floor space, comprising offices, laboratories, clean rooms, and a large experimental hall; it is also home to the cluster of excellence STRUCTURES.

Location

Please find the EINC building location info here.

Events

Please see the list of events at the EINC.

Research

Elec­trons —
Spik­ing Neu­ro­mor­phic Hard­ware

To bridge brain-inspired computing and energy-efficient AI, we pioneer accelerated analog neuromorphic computing systems. Based on CMOS microelectronics, our BrainScaleS hardware architectures provide flexibly configurable physical platforms for experimental exploration of event-driven and non-von Neumann computing paradigms. Applications range from multi-scale brain emulation with spike-based communication and structured neurons to deep neural networks and low-latency processing. Beyond hardware, we design software and training algorithms to seamlessly connect event-driven neuromorphic computing systems with modern digital infrastructure. BrainScaleS is accessible via the EBRAINS Research Infrastructure.

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Photons —
Optical Quantum Systems

Quantum fluids of light can be experimentally realized within nanostructured material-filled optical resonators. Utilizing the light-matter interactions in this platform, we conduct fundamental studies on thermodynamics and quantum-statistical effects. Specifically, we explore how topological states arise in photonic structures under finite-temperature conditions, how complex networks of optical condensates can serve as physical computers for optimization problems, or how quantum many-body states of light, e.g., photon superfluids, can be synthesised at room temperature. Unravelling such open questions is at the forefront of research in quantum physics and may lead to new applications for future quantum technologies.

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Pho­tons —
Highly­-integrated Neu­ro­mor­phic Op­tics

We de­sign in­te­grated pho­tonic cir­cuits for neu­ro­mor­phic and quan­tum com­put­ing and nanofab­ri­cate chip­scale sys­tems in our clean­rooms. Both in­te­grated op­ti­cal chips and con­trol pe­riph­ery are man­u­fac­tured in-house, mak­ing use of pre­ci­sion nanopro­cess­ing and nanoan­a­lyt­ics. Pho­tonic com­put­ing ap­proaches of­fer mas­sive gains in through­put and pro­cess­ing speed, to en­able un­con­ven­tional com­put­ing be­yond the ca­pa­bil­i­ties of von-Neumann com­put­ers. By merg­ing brain-inspired ar­chi­tec­tures with con­cepts from quan­tum physics, we aim to im­ple­ment ver­sa­tile ar­chi­tec­tures for quan­tum com­put­ing, quan­tum com­mu­ni­ca­tion and quan­tum sim­u­la­tion.

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Atoms —
Ul­tra­cold Quan­tum Sim­u­la­tors

We ex­plore and de­velop ma­chines for the pro­duc­tion of ul­tra­cold quan­tum gases which of­fer a vast quan­tum re­source for quan­tum sim­u­la­tors as well as quan­tum reser­voir com­pu­ta­tion. We de­velop new quan­tum op­ti­cal tools for the high-speed prepa­ra­tion as well as unique read­out strate­gies go­ing be­yond the stan­dard realm of pro­jec­tive mea­sure­ments. With this new level of con­trol of in­put as well as pos­si­ble out­put con­fig­u­ra­tions we ex­tend the ca­pa­bil­i­ties of quan­tum gases as a com­pu­ta­tional re­source and tackle fun­da­men­tal but still open ques­tions in cos­mol­ogy, high-energy physics and con­densed mat­ter.

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