Summer School on New Directions in Quantum and Quantum Reservoir Computing, Quantum Devices and Related Technologies
Quantum computing and related quantum hardware are under rapid development and have potential for transformative technology and devices. A relatively new paradigm called Quantum Reservoir Computing (QRC) leverages the inherent quantum dynamics of quantum components such as qubits and uses disorder and noise as resource. QRC can be viewed to complement standard gate-based quantum computing in current noisy intermediate-scale quantum computing (NISQ).
The purpose of this summer school is to give students and doctoral researchers a comprehensive introduction and review on NISQ and QR computing, including the relevant quantum devices, their operation and development in a laboratory environment. To fully understand these, the theory of open quantum and quantum many-body systems relevant to quantum technologies will also be considered.
Topics: NISQ computing; quantum reservoir computing; quantum components and devices; open quantum systems; many-body quantum systems. Tutorials on writing scientific papers and presenting results.
Format: Lectures and laboratory demonstrations.
Expected outcomes: Training of young researchers on various forms of quantum physics and devices relevant to NIS and QR computing.
The five-day Summer School will take place on 18-22 August 2025 at Aalto University in Espoo, Finland. The Aalto campus in Otaniemi is just outside Helsinki and 15 minutes from Helsinki Central Station by metro. Public transport like the metro works handily with contactless payment. The schedule is organized such that participants can conveniently arrive in the morning of the first day.
The Summer School is free to attend for all with no registration fees. Meals and refreshments indicated in the programme are provided for attendees free of charge.
Please note that the number of participants to the Summer School is limited. If you are not associated with QUEST or QRC-4-ESP, your participation will be separately confirmed.
The Summer School is organised by the with support from . QUEST is a Horizon Europe Twinning project aiming to develop quantum reservoir computing system leveraging silicon carbide defect qubits.
The QUEST consortium are:
- Prof. Tapio Ala-±·¾±²õ²õ¾±±ôä, Aalto University, Finland
- Prof. Igor Abrikosov, Linköping University, Sweden
-
Prof. Viktor Ivady, Eötvös Loránd University, Hungary
Local committee:
- Prof. Tapio Ala-±·¾±²õ²õ¾±±ôä
- Project Controller Marita Halme, Aalto University
-
Finance Secretary Susanna Marttala, Aalto University
If you have any questions, contact the local organisers by emailing events-phys[at]aalto.fi.
Registration:
The Summer School is now full, and registrations have been closed. Thanks to all who signed up!
Speakers:
- Igor Abrikosov (Linköping, SE): TBA
- Viktor Ivady (ELU, HU): TBA
- Ivan Gueorguiev Ivanov (Linköping, SE): TBA
- Lina Jaurigue (Ilmenau, Germany): TBA
- Jose Lado (Aalto, FI): TBA
- Achilleas Lazarides (Loughborough, UK): TBA
- Gerard McCaul (Loughborough, UK): TBA
- Paolo Muratore-Ginanneschi (Helsinki, FI): TBA
- Patrick Navez (Montpelier, FR): TBA
- Johannes Nokkala (Turku, FI): Quantum reservoir computing: from basics to photonic schemes
- Wendy Otieno (Loughborough, UK): TBA
- Emmanuel Rousseau (Montpelier, FR): Analyzing Reservoir Computing Through the Lens of Filter Theory
- Alexandre Zagoskin (Loughborough, UK): TBA
Programme:
| Arrival with Lunch, Coffee and Discussions | 11:00 – 13:30 |
| Session 1: Introduction to Quantum and Reservoir Quantum Computing | 13:30 - 18:00 |
| Introduction to Quantum Computing I (Alex Zagoskin) | 13:30 - 14:20 + 10 |
| Introduction to Quantum Computing II (Alex Zagoskin) | 14:30 - 15:20 + 10 |
| Coffee Break | 15:30 – 16:00 |
| Introduction to QRC (Gerard McCaul) | 16:00 – 16:50 + 10 |
| Demonstration of QRC (Gerard McCaul and Wendy Otieno) | 17:00 - 17:50 + 10 |
| Poster setup | 18:00 |
| Session 2: Open Quantum Systems | 9:00 – 12:30 |
| Lecture 2.1 (Paolo Muratore-Ginanneschi) | 9:00 - 9:50 + 10 |
| Lecture 2.2 (Paolo Muratore-Ginanneschi) | 10:00 – 10:50 + 10 |
| Coffee Break | 11:00 – 11:30 |
| Lecture 2.3 (Paolo Muratore-Ginanneschi) | 11:30 – 12:20 + 10 |
| Lunch | 12:30 - 14:00 |
| Session 3: Many-Body Systems | 14:00 – 17:30 |
| Lecture 3.1 (Achilleas Lazarides) | 14:00 - 14:50 + 10 |
| Lecture 3.2 (Achilleas Lazarides) | 15:00 – 15:50 + 10 |
| Coffee Break | 16:00 – 16:30 |
| Lecture 3.3 (Achilleas Lazarides) | 16:30 – 17:20 + 10 |
| Poster session with catering | 17:30 - |
| Session 4: Quantum Technology and Solid State Qubits | 9:00 – 17:00 |
| Lecture 4.1 (Physics/Theory) Viktor Ivady | 9:00 - 9:50 + 10 |
| Lecture 4.2 (Applications) Viktor Ivady | 10:00 - 10:50 + 10 |
| Coffee Break | 11:00 - 11:30 |
| Lecture 4.3 (Experiments) Ivan Gueorguiev Ivanov | 11:30 - 12:20 + 10 |
| Lunch | 12:30 - 14:00 |
| Tutorials on Scientific Writing and Presentations (Igor Abrikosov and Alexandre Zagoskin) | 14:00 – 15:00 |
| Laboratory tours at Micronova and visit to Suomenlinna (self-organized) | 15:00 – |
| Session 5: Special Topics 1 | 9:00 – 14:00 |
| ST 5.1 | 9:00 - 9:50 + 10 |
| Contributed | 10:00 – 10:20 + 10 |
| Contributed | 10:30 – 10:50 + 10 |
| Coffee Break | 11:00 – 11:30 |
| ST 5.2 | 11:30 – 12:20 + 10 |
| Lunch | 12:30 - 14:00 |
| Session 6: Special Topics 2 | 14:00 – 17:30 |
| ST 6.1 | 14:00 - 14:50 + 10 |
| Contributed | 15:00 – 15:50 + 10 |
| Contributed | 16:00 – 16:20 + 10 |
| Posters | 16:30 – 18:00 |
| Conference Dinner | 19:00 - |
| Session 7: Special Topics 3 | 9:00 – 12:30 |
| ST 7.1 | 9:00 - 9:50 + 10 |
| Contributed | 10:00 – 10:20 + 10 |
| Contributed | 10:30 – 10:50 + 10 |
| Coffee Break | 11:00 – 11:30 |
| ST 7.2 | 11:30 – 12:20 + 10 |
| Lunch | 12:30 - 14:00 |
| Summary discussion and end of event | 14:00 |
Posters
Density dependence of thermal conductivity in nanoporous and amorphous
carbon with machine-learned molecular dynamics
Yanzhou Wang , Zheyong Fan , Ping Qian , Miguel A. Caro and Tapio Ala-
±·¾±²õ²õ¾±±ôä
Disordered forms of carbon are an important class of materials for applications such
as thermal management. However, a comprehensive theoretical understanding of the
structural dependence of thermal transport and the underlying microscopic
mechanisms is lacking. Here we study the structure-dependent thermal conductivity of
disordered carbon[1] by employing molecular dynamics (MD) simulations driven by a
machine-learned interatomic potential based on the efficient neuroevolution potential
approach[2]. Using large-scale MD simulations[3], we generate realistic nanoporous
carbon (NP-C) samples with density varying from 0.3 to 1.5 g cm-3 dominated by
sp2 motifs, and amorphous carbon (a-C) samples with density varying from 1.5 to 3.5
g cm-3 exhibiting mixed sp2 and sp3 motifs. Structural properties including
short- and medium-range order are characterized by atomic coordination, pair
correlation function, angular distribution function and structure factor. Using the
homogeneous nonequilibrium MD method and the associated quantum-statistical
correction scheme, we predict a linear and a superlinear density dependence of
thermal conductivity for NP-C and a-C, respectively, in good agreement with relevant
experiments. The distinct density dependences are attributed to the different impacts
of the sp2 and sp3 motifs on the spectral heat capacity, vibrational mean free paths
and group velocity. We additionally highlight the significant role of structural order in
regulating the thermal conductivity of disordered carbon.
[1] Wang, Yanzhou, et al. "Density dependence of thermal conductivity in nanoporous
and amorphous carbon with machine-learned molecular dynamics." Physical Review B
111.9 (2025): 094205.
[2] Fan, Zheyong, et al. "Neuroevolution machine learning potentials: Combining high
accuracy and low cost in atomistic simulations and application to heat transport."
Physical Review B 104.10 (2021): 104309.
[3] Fan, Zheyong, et al. "Efficient molecular dynamics simulations with many-body
potentials on graphics processing units." Computer Physics Communications 218
(2017): 10-16.
Numerical investigation of minimal quantum reservoirs
We present a quantum reservoir computing framework using minimal single-qubit systems for signal processing and time series prediction. Data encoded into Hamiltonians naturally transforms into the Fourier domain through the unitary time evolution, with measurements extracting cosine and sine frequency components. Our experiments show strong performance in signal reconstruction and time series tasks. We were able to confirm the idea that qubits naturally decompose the learned signal into Fourier components.
Entropy and SVD analyses confirm efficient compression and learning so that we can determine the minimum number of samples we can reconstruct from a signal. We investigated how sampling affects the signal reconstruction accuracy barrier. We have succeeded in creating a single qubit recursive perdito and investigated the relationship between the target signal and the sampling window.
Arriving to Otaniemi campus:
The Summer School takes place on Aalto's idyllic Otaniemi campus. The campus is easily accessible via public transport such as the metro, which takes only 15 minutes from downtown Helsinki. Public transport from the Helsinki-Vantaa airport takes roughly an hour. Tickets are easily bought with contactless payment when boarding the vehicle.
For more on how to get to campus, where to park your car or even how to take a virtual campus tour, check out Aalto's complete guide: /en/campus/campus-maps-addresses-and-opening-hours-in-otaniemi
The Summer School's on-campus venue is the Saab Auditorium in the TU1 building with the street address Maarintie 8. TU1 is located just a few minute's walk from the metro station at the heart of the campus.
More here: /en/locations/maarintie-8
Organisers:
