We deliver accessible quantum computing for the real world
Quantum computing is the new computing paradigm that leverages quantum physics phenomena such as superposition and entanglement to offer many orders of magnitude more powerful computing capabilities than conventional computers.
It is a key workaround to the critical challenges of the semiconductor industry: Moore’s Law (that has allowed doubling performance every 18 months for the last 40 years) is hitting a fundamental wall in terms performance, cost and energy consumption as lithography reaches atomic scales.
Beyond this workaround, quantum computing enables addressing hard-compute problems that cannot be tackled by conventional computing architectures.
Quantum computers will not replace but rather will complement classical computing platforms as accelerators for specific hard computing problems.
Qilimanjaro’s integrated hardware & software team focuses on high-quality qubit architectures to deliver scalable app-specific fully quantum processors and algorithmic services in an accelerated timeframe.
According to data published by Deloitte and other market research agencies, the quantum computing market worldwide is expected to grow from the tens of Millions of $ in 2019 to hundreds in the 2020’s and to tens of Billions in the 2030’s side-by-side to the 1 to 2 Trillions of classical computing markets at that time.
Players in the emerging quantum computing market (both large multinationals and several startups) are focusing on developing universal gate-based quantum computers; however their key challenge is to overcome the technological limitations associated to implementing quantum error correction.
The most optimistic predictions show that corresponding efficient breakthroughs will take over a decade to materialize.
In contrast, Qilimanjaro builds on its expertise in superconducting qubits for gate-based quantum computers to focus on timely and affordable quantum advantage, by designing next-generation analog quantum processors with high quality qubits, which do not require quantum error correction and can be therefore faster-to-market.
Our analog quantum processors can be operated as coherent quantum annealers, with the capacity to optimally address certain problem categories, specifically optimization problems and Quantum Machine Learning. Analog quantum processors can also be programmed as quantum simulators as well as hybrid co-processors.
These problem categories are central to many real-world use cases across industries (logistics, traffic management, financial risk assessments, chemistry, etc.), and will garner a clear demand.
Specifically, Qilimanjaro’s analog architecture is designed on the basis of coherent qubits, whereby longer coherent times allow complex calculations to be performed in the real quantum regime, leveraging true quantum phenomena and therefore its computing capabilities.
Existing quantum annealing industry players are focusing on incoherent qubits and, so far, do not show indications of exceeding conventional computing capabilities.
Qilimanjaro is a contributor to the H2020 competitive research project AVAQus on coherent quantum annealing financed by the European Commission, starting in October 2020 and led by Pol Forn-Díaz at IFAE.
Qilimanjaro was founded in 2019 and has signed international customer contracts that have paved its funding runway.
Qilimanjaro expects to offer access to its quantum computing platform via the cloud as of 2022. In the meantime, Qilimanjaro’s team offers algorithmic design support for quantum and so-called hybrid quantum/classical algorithms on a platform-agnostic basis, with a focus on optimization and quantum machine learning problems – the real-world problems to be addressed by Qilimanjaro’s platform.
This experience feeds into the platform design and also provides for short term revenue generation. In addition, Qilimanjaro offers quantum computing lab setup services to its customers.