A prototype of the new solver, HOBO solver &#34;hobotan,&#34; is now available. We have created a new solver with volunteers on Discord. We are extending QUBO to HOBO. We are working on integrating it into the QUBO annealing compatible library TYTAN. A prototype is available at https://github.com/ShoyaYasuda/hobotan.  You can try it with limited functionality, so please give us your feedback. <pre class="ql-syntax" spellcheck="false">pip install -U git+https://github.com/ShoyaYasuda/hobotan
</pre> <pre class="ql-syntax" spellcheck="false">import numpy as np

from hobotan import *

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Only supports 1-dimensional arrays; [4, 4] is not allowed.
Only supports symbols named &#39;q&#39;.
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q = symbols_list(5, &#39;q{}&#39;)

print(q)

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Expressions are probably OK with any number of terms.
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H = (q[0] + q[1] + q[2] + q[3] + q[4] - 5)**2 - 20*q[1]*q[2] - 10*q[1]*q[2]*q[3] + 5*q[1]*q[2]*q[3]*q[4]

# Compile to HOBO tensor
hobo, offset = Compile(H).get_hobo()
print(offset)
# print(hobo)

# Select sampler (random seed fixed)
solver = sampler.SASampler(seed=0)

# Sampling (100 times)
result = solver.run(hobo, shots=100)

# Results
for r in result:
  print(r)
  arr, subs = Auto_array(r[0]).get_ndarray(&#39;q{}&#39;)
  print(arr)
</pre>

A prototype of the new solver, HOBO solver "hobotan," is now available.

Yuichiro Minato